1
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Gretzinger J, Schmitt F, Mötsch A, Carlhoff S, Lamnidis TC, Huang Y, Ringbauer H, Knipper C, Francken M, Mandt F, Hansen L, Freund C, Posth C, Rathmann H, Harvati K, Wieland G, Granehäll L, Maixner F, Zink A, Schier W, Krausse D, Krause J, Schiffels S. Evidence for dynastic succession among early Celtic elites in Central Europe. Nat Hum Behav 2024:10.1038/s41562-024-01888-7. [PMID: 38831077 DOI: 10.1038/s41562-024-01888-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 04/15/2024] [Indexed: 06/05/2024]
Abstract
The early Iron Age (800 to 450 BCE) in France, Germany and Switzerland, known as the 'West-Hallstattkreis', stands out as featuring the earliest evidence for supra-regional organization north of the Alps. Often referred to as 'early Celtic', suggesting tentative connections to later cultural phenomena, its societal and population structure remain enigmatic. Here we present genomic and isotope data from 31 individuals from this context in southern Germany, dating between 616 and 200 BCE. We identify multiple biologically related groups spanning three elite burials as far as 100 km apart, supported by trans-regional individual mobility inferred from isotope data. These include a close biological relationship between two of the richest burial mounds of the Hallstatt culture. Bayesian modelling points to an avuncular relationship between the two individuals, which may suggest a practice of matrilineal dynastic succession in early Celtic elites. We show that their ancestry is shared on a broad geographic scale from Iberia throughout Central-Eastern Europe, undergoing a decline after the late Iron Age (450 BCE to ~50 CE).
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Affiliation(s)
- Joscha Gretzinger
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Felicitas Schmitt
- Landesamt für Denkmalpflege im Regierungspräsidium Stuttgart, Esslingen, Germany
| | - Angela Mötsch
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Selina Carlhoff
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | | | - Yilei Huang
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Harald Ringbauer
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Corina Knipper
- Curt Engelhorn Zentrum Archäometrie gGmbH, Mannheim, Germany
| | - Michael Francken
- Landesamt für Denkmalpflege im Regierungspräsidium Stuttgart, Esslingen, Germany
| | - Franziska Mandt
- Landesamt für Denkmalpflege im Regierungspräsidium Stuttgart, Esslingen, Germany
| | - Leif Hansen
- Landesamt für Denkmalpflege im Regierungspräsidium Stuttgart, Esslingen, Germany
| | - Cäcilia Freund
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Cosimo Posth
- Institute for Archaeological Sciences, Department of Geosciences, Eberhard Karls University of Tübingen, Tübingen, Germany
- Senckenberg Centre for Human Evolution and Palaeoenvironment, Eberhard Karls University of Tübingen, Tübingen, Germany
| | - Hannes Rathmann
- Institute for Archaeological Sciences, Department of Geosciences, Eberhard Karls University of Tübingen, Tübingen, Germany
- Senckenberg Centre for Human Evolution and Palaeoenvironment, Eberhard Karls University of Tübingen, Tübingen, Germany
| | - Katerina Harvati
- Institute for Archaeological Sciences, Department of Geosciences, Eberhard Karls University of Tübingen, Tübingen, Germany
- Senckenberg Centre for Human Evolution and Palaeoenvironment, Eberhard Karls University of Tübingen, Tübingen, Germany
- DFG Center for Advanced Studies in the Humanities 'Words, Bones, Genes, Tools: Tracking Linguistic, Cultural and Biological Trajectories of the Human Past', Eberhard Karls University of Tübingen, Tübingen, Germany
| | - Günther Wieland
- Landesamt für Denkmalpflege im Regierungspräsidium Stuttgart, Esslingen, Germany
| | - Lena Granehäll
- Institute for Mummy Studies, EURAC Research, Bolzano, Italy
| | - Frank Maixner
- Institute for Mummy Studies, EURAC Research, Bolzano, Italy
| | - Albert Zink
- Institute for Mummy Studies, EURAC Research, Bolzano, Italy
| | - Wolfram Schier
- Institut für Prähistorische Archäologie, Freie Universität Berlin, Berlin, Germany
| | - Dirk Krausse
- Landesamt für Denkmalpflege im Regierungspräsidium Stuttgart, Esslingen, Germany.
| | - Johannes Krause
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
| | - Stephan Schiffels
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
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2
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Antonio ML, Weiß CL, Gao Z, Sawyer S, Oberreiter V, Moots HM, Spence JP, Cheronet O, Zagorc B, Praxmarer E, Özdoğan KT, Demetz L, Gelabert P, Fernandes D, Lucci M, Alihodžić T, Amrani S, Avetisyan P, Baillif-Ducros C, Bedić Ž, Bertrand A, Bilić M, Bondioli L, Borówka P, Botte E, Burmaz J, Bužanić D, Candilio F, Cvetko M, De Angelis D, Drnić I, Elschek K, Fantar M, Gaspari A, Gasperetti G, Genchi F, Golubović S, Hukeľová Z, Jankauskas R, Vučković KJ, Jeremić G, Kaić I, Kazek K, Khachatryan H, Khudaverdyan A, Kirchengast S, Korać M, Kozlowski V, Krošláková M, Kušan Špalj D, La Pastina F, Laguardia M, Legrand S, Leleković T, Leskovar T, Lorkiewicz W, Los D, Silva AM, Masaryk R, Matijević V, Cherifi YMS, Meyer N, Mikić I, Miladinović-Radmilović N, Milošević Zakić B, Nacouzi L, Natuniewicz-Sekuła M, Nava A, Neugebauer-Maresch C, Nováček J, Osterholtz A, Paige J, Paraman L, Pieri D, Pieta K, Pop-Lazić S, Ruttkay M, Sanader M, Sołtysiak A, Sperduti A, Stankovic Pesterac T, Teschler-Nicola M, Teul I, Tončinić D, Trapp J, Vulović D, Waliszewski T, Walter D, Živanović M, Filah MEM, Čaušević-Bully M, Šlaus M, Borić D, Novak M, Coppa A, Pinhasi R, Pritchard JK. Stable population structure in Europe since the Iron Age, despite high mobility. eLife 2024; 13:e79714. [PMID: 38288729 PMCID: PMC10827293 DOI: 10.7554/elife.79714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Accepted: 12/12/2023] [Indexed: 02/01/2024] Open
Abstract
Ancient DNA research in the past decade has revealed that European population structure changed dramatically in the prehistoric period (14,000-3000 years before present, YBP), reflecting the widespread introduction of Neolithic farmer and Bronze Age Steppe ancestries. However, little is known about how population structure changed from the historical period onward (3000 YBP - present). To address this, we collected whole genomes from 204 individuals from Europe and the Mediterranean, many of which are the first historical period genomes from their region (e.g. Armenia and France). We found that most regions show remarkable inter-individual heterogeneity. At least 7% of historical individuals carry ancestry uncommon in the region where they were sampled, some indicating cross-Mediterranean contacts. Despite this high level of mobility, overall population structure across western Eurasia is relatively stable through the historical period up to the present, mirroring geography. We show that, under standard population genetics models with local panmixia, the observed level of dispersal would lead to a collapse of population structure. Persistent population structure thus suggests a lower effective migration rate than indicated by the observed dispersal. We hypothesize that this phenomenon can be explained by extensive transient dispersal arising from drastically improved transportation networks and the Roman Empire's mobilization of people for trade, labor, and military. This work highlights the utility of ancient DNA in elucidating finer scale human population dynamics in recent history.
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Affiliation(s)
- Margaret L Antonio
- Biomedical Informatics Program, Stanford UniversityStanfordUnited States
| | - Clemens L Weiß
- Department of Genetics, Stanford UniversityStanfordUnited States
| | - Ziyue Gao
- Department of Genetics, University of Pennsylvania, Perelman School of MedicinePhiladelphiaUnited States
| | - Susanna Sawyer
- Department of Evolutionary Anthropology, University of ViennaViennaAustria
- Human Evolution and Archaeological Sciences, University of ViennaViennaAustria
| | - Victoria Oberreiter
- Department of Evolutionary Anthropology, University of ViennaViennaAustria
- Human Evolution and Archaeological Sciences, University of ViennaViennaAustria
| | - Hannah M Moots
- Stanford Archaeology Center, Stanford UniversityStanfordUnited States
- University of Chicago, Department of Human GeneticsChicagoUnited States
| | - Jeffrey P Spence
- Department of Genetics, Stanford UniversityStanfordUnited States
| | - Olivia Cheronet
- Department of Evolutionary Anthropology, University of ViennaViennaAustria
- Human Evolution and Archaeological Sciences, University of ViennaViennaAustria
| | - Brina Zagorc
- Department of Evolutionary Anthropology, University of ViennaViennaAustria
- Human Evolution and Archaeological Sciences, University of ViennaViennaAustria
| | - Elisa Praxmarer
- Department of Evolutionary Anthropology, University of ViennaViennaAustria
| | | | - Lea Demetz
- Department of Evolutionary Anthropology, University of ViennaViennaAustria
| | - Pere Gelabert
- Department of Evolutionary Anthropology, University of ViennaViennaAustria
| | - Daniel Fernandes
- Department of Evolutionary Anthropology, University of ViennaViennaAustria
- Human Evolution and Archaeological Sciences, University of ViennaViennaAustria
- CIAS, Department of Life Sciences, University of CoimbraCoimbraPortugal
| | - Michaela Lucci
- Dipartimento di Storia Antropologia Religioni Arte Spettacolo, Sapienza UniversityRomeItaly
| | | | - Selma Amrani
- LBEIG, Population Genetics & Conservation Unit, Department of Cellular and Molecular Biology – Faculty of Biological Sciences, University of Sciences and Technology Houari BoumedieneAlgiersAlgeria
| | - Pavel Avetisyan
- National Academy of Sciences of Armenia, Institute of Archaeology and EthnographyYerevanArmenia
| | - Christèle Baillif-Ducros
- French National Institute for Preventive Archaeological Research (INRAP)/CAGT UMR 5288ToulouseFrance
| | - Željka Bedić
- Centre for Applied Bioanthropology, Institute for Anthropological ResearchZagrebCroatia
| | | | | | - Luca Bondioli
- Dipartimento dei Beni Culturali, Archeologia, Storia dell'arte, del Cinema e della Musica, Università di PadovaPadovaItaly
| | - Paulina Borówka
- Department of Anthropology, Faculty of Biology and Environmental Protection, University of LodzŁódźPoland
| | - Emmanuel Botte
- Aix Marseille Université, CNRS, Centre Camille JullianAix-en-ProvenceFrance
| | | | - Domagoj Bužanić
- Faculty of Humanities and Social Sciences, University of ZagrebZagrebCroatia
| | | | - Mirna Cvetko
- Faculty of Humanities and Social Sciences, University of ZagrebZagrebCroatia
| | - Daniela De Angelis
- Museo Archeologico Nazionale di Tarquinia, Direzione Regionale Musei LazioRomeItaly
| | - Ivan Drnić
- Archaeological Museum in ZagrebZagrebCroatia
| | - Kristián Elschek
- Institute of Archaeology, Slovak Academy of SciencesNitraSlovakia
| | - Mounir Fantar
- Département des Monuments et des Sites Antiques - Institut National du Patrimoine INPTunisTunisia
| | - Andrej Gaspari
- University of Ljubljana, Faculty of Arts, Department for ArchaeologyLjubljanaSlovenia
| | - Gabriella Gasperetti
- Soprintendenza Archeologia, belle arti e paesaggio per le province di Sassari e NuoroSassariItaly
| | - Francesco Genchi
- Department of Oriental Studies, Sapienza University of RomeRomeItaly
| | | | - Zuzana Hukeľová
- Institute of Archaeology, Slovak Academy of SciencesNitraSlovakia
| | | | | | | | - Iva Kaić
- Faculty of Humanities and Social Sciences, University of ZagrebZagrebCroatia
| | - Kevin Kazek
- Université de Lorraine, Centre de Recherche Universitaire Lorrain d' Histoire (CRULH)NancyFrance
| | - Hamazasp Khachatryan
- Department of Archaeologi, Shirak Centere of Armenological Studies, National Academy of Sciences Republic of ArmeniaGyumriArmenia
| | - Anahit Khudaverdyan
- Institute of Archaeology and Ethnography of the National Academy of Sciences of the Republic of ArmeniaYerevanArmenia
| | - Sylvia Kirchengast
- Department of Evolutionary Anthropology, University of ViennaViennaAustria
| | | | | | - Mária Krošláková
- Institute of Archaeology, Slovak Academy of SciencesNitraSlovakia
| | | | | | - Marie Laguardia
- UMR 7041 ArScAn / French Institute of the Near EastBeirutLebanon
| | | | - Tino Leleković
- Archaeology Division, Croatian Academy of Sciences and ArtsZagrebCroatia
| | - Tamara Leskovar
- University of Ljubljana, Faculty of Arts, Department for ArchaeologyLjubljanaSlovenia
| | - Wiesław Lorkiewicz
- Department of Anthropology, Faculty of Biology and Environmental Protection, University of LodzŁódźPoland
| | | | - Ana Maria Silva
- CIAS, Department of Life Sciences, University of CoimbraCoimbraPortugal
- CEF - University of CoimbraCoimbraPortugal
- UNIARQ - University of LisbonLisbonPortugal
| | - Rene Masaryk
- Skupina STIK Zavod za preučevanje povezovalnih področij preteklosti in sedanjostiLjubljanaSlovenia
| | - Vinka Matijević
- Faculty of Humanities and Social Sciences, University of ZagrebZagrebCroatia
| | - Yahia Mehdi Seddik Cherifi
- Department of Evolutionary Anthropology, University of ViennaViennaAustria
- Cardiolo-Oncology Research Collaborative Group (CORCG), Faculty of Medicine, Benyoucef Benkhedda UniversityAlgiersAlgeria
- Molecular Pathology, University Paul Sabatier Toulouse IIIToulouseFrance
| | - Nicolas Meyer
- French National Institute for Preventive Archaeological Research (INRAP)MetzFrance
| | - Ilija Mikić
- Institute of Archaeology BelgradeBelgradeSerbia
| | | | | | - Lina Nacouzi
- L’Institut français du Proche-OrientBeirutLebanon
| | - Magdalena Natuniewicz-Sekuła
- Institute of Archaeology and Ethnology Polish Academy of Sciences, Centre of Interdisciplinary Archaeological ResearchWarsawPoland
| | - Alessia Nava
- Department of Odontostomatological and Maxillofacial Sciences, Sapienza University of RomeRomeItaly
| | - Christine Neugebauer-Maresch
- Austrian Archaeological Institute, Austrian Academy of SciencesViennaAustria
- Institute of Prehistory and Early History, University of ViennaViennaAustria
| | - Jan Nováček
- Thuringia State Service for Cultural Heritage and Archaeology WeimarThuringiaGermany
- Institute of Anatomy and Cell Biology, University Medical Centre, Georg-August University of GöttingenGöttingenGermany
| | | | | | | | | | - Karol Pieta
- Institute of Archaeology, Slovak Academy of SciencesNitraSlovakia
| | | | - Matej Ruttkay
- Institute of Archaeology, Slovak Academy of SciencesNitraSlovakia
| | - Mirjana Sanader
- Faculty of Humanities and Social Sciences, University of ZagrebZagrebCroatia
| | | | - Alessandra Sperduti
- Bioarchaeology Service, Museum of CivilizationsRomeItaly
- Dipartimento Asia, Africa e Mediterraneo, Università degli Studi di Napoli “L’Orientale”NaplesItaly
| | | | - Maria Teschler-Nicola
- Department of Evolutionary Anthropology, University of ViennaViennaAustria
- Department of Anthropology, Natural History Museum ViennaViennaAustria
| | - Iwona Teul
- Chair and Department of Normal Anatomy, Faculty of Medicine and Dentistry, Pomeranian Medical UniversitySzczecinPoland
| | - Domagoj Tončinić
- Faculty of Humanities and Social Sciences, University of ZagrebZagrebCroatia
| | - Julien Trapp
- Musée de La Cour d'Or, Eurométropole de MetzMetzFrance
| | | | | | - Diethard Walter
- Thuringia State Service for Cultural Heritage and Archaeology WeimarThuringiaGermany
| | - Miloš Živanović
- Department of Archeology, Center for Conservation and Archeology of MontenegroCetinjeMontenegro
| | | | | | - Mario Šlaus
- Anthropological Centre, Croatian Academy of Sciences and ArtsZagrebCroatia
| | - Dušan Borić
- Department of Environmental Biology, Sapienza University of RomeRomeItaly
- Department of Anthropology, New York UniversityNew YorkUnited States
| | - Mario Novak
- Centre for Applied Bioanthropology, Institute for Anthropological ResearchZagrebCroatia
| | - Alfredo Coppa
- Department of Evolutionary Anthropology, University of ViennaViennaAustria
- Department of Environmental Biology, Sapienza University of RomeRomeItaly
- Department of Genetics, Harvard Medical SchoolBostonUnited States
| | - Ron Pinhasi
- Department of Evolutionary Anthropology, University of ViennaViennaAustria
- Human Evolution and Archaeological Sciences, University of ViennaViennaAustria
| | - Jonathan K Pritchard
- Department of Genetics, Stanford UniversityStanfordUnited States
- Department of Biology, Stanford UniversityStanfordUnited States
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3
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Havaš Auguštin D, Šarac J, Reidla M, Tamm E, Grahovac B, Kapović M, Novokmet N, Rudan P, Missoni S, Marjanović D, Korolija M. Refining the Global Phylogeny of Mitochondrial N1a, X, and HV2 Haplogroups Based on Rare Mitogenomes from Croatian Isolates. Genes (Basel) 2023; 14:1614. [PMID: 37628665 PMCID: PMC10454736 DOI: 10.3390/genes14081614] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 07/28/2023] [Accepted: 08/08/2023] [Indexed: 08/27/2023] Open
Abstract
Mitochondrial DNA (mtDNA) has been used for decades as a predominant tool in population genetics and as a valuable addition to forensic genetic research, owing to its unique maternal inheritance pattern that enables the tracing of individuals along the maternal lineage across numerous generations. The dynamic interplay between evolutionary forces, primarily genetic drift, bottlenecks, and the founder effect, can exert significant influence on genetic profiles. Consequently, the Adriatic islands have accumulated a subset of lineages that exhibits remarkable absence or rarity within other European populations. This distinctive genetic composition underscores the islands' potential as a significant resource in phylogenetic research, with implications reaching beyond regional boundaries to contribute to a global understanding. In the initial attempt to expand the mitochondrial forensic database of the Croatian population with haplotypes from small isolated communities, we sequenced mitogenomes of rare haplogroups from different Croatian island and mainland populations using next-generation sequencing (NGS). In the next step and based on the obtained results, we refined the global phylogeny of haplogroup N1a, HV2, and X by analyzing rare haplotypes, which are absent from the current phylogenetic tree. The trees were based on 16 novel and 52 previously published samples, revealing completely novel branches in the X and HV2 haplogroups and a new European cluster in the ancestral N1a variant, previously believed to be an exclusively African-Asian haplogroup. The research emphasizes the importance of investigating geographically isolated populations and their unique characteristics within a global context.
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Affiliation(s)
- Dubravka Havaš Auguštin
- Centre for Applied Bioanthropology, Institute for Anthropological Research, Ljudevita Gaja 32, 10000 Zagreb, Croatia; (D.H.A.)
- Institute for Anthropological Research, 10000 Zagreb, Croatia
| | - Jelena Šarac
- Centre for Applied Bioanthropology, Institute for Anthropological Research, Ljudevita Gaja 32, 10000 Zagreb, Croatia; (D.H.A.)
- Institute for Anthropological Research, 10000 Zagreb, Croatia
| | - Maere Reidla
- Institute of Genomics, University of Tartu, 50090 Tartu, Estonia
| | - Erika Tamm
- Institute of Genomics, University of Tartu, 50090 Tartu, Estonia
| | | | | | | | - Pavao Rudan
- Croatian Academy of Sciences and Arts, 10000 Zagreb, Croatia
| | - Saša Missoni
- Institute for Anthropological Research, 10000 Zagreb, Croatia
- Faculty of Dental Medicine and Health, J. J. Strossmayer University, 31000 Osijek, Croatia
| | - Damir Marjanović
- Centre for Applied Bioanthropology, Institute for Anthropological Research, Ljudevita Gaja 32, 10000 Zagreb, Croatia; (D.H.A.)
- Institute for Anthropological Research, 10000 Zagreb, Croatia
- Genetics and Bioengineering Department, International Burch University, 71000 Sarajevo, Bosnia and Herzegovina
| | - Marina Korolija
- Forensic Science Centre “Ivan Vučetić”, Ministry of the Interior, 10000 Zagreb, Croatia
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4
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Rodríguez-Varela R, Moore KHS, Ebenesersdóttir SS, Kilinc GM, Kjellström A, Papmehl-Dufay L, Alfsdotter C, Berglund B, Alrawi L, Kashuba N, Sobrado V, Lagerholm VK, Gilbert E, Cavalleri GL, Hovig E, Kockum I, Olsson T, Alfredsson L, Hansen TF, Werge T, Munters AR, Bernhardsson C, Skar B, Christophersen A, Turner-Walker G, Gopalakrishnan S, Daskalaki E, Omrak A, Pérez-Ramallo P, Skoglund P, Girdland-Flink L, Gunnarsson F, Hedenstierna-Jonson C, Gilbert MTP, Lidén K, Jakobsson M, Einarsson L, Victor H, Krzewińska M, Zachrisson T, Storå J, Stefánsson K, Helgason A, Götherström A. The genetic history of Scandinavia from the Roman Iron Age to the present. Cell 2023; 186:32-46.e19. [PMID: 36608656 DOI: 10.1016/j.cell.2022.11.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 10/14/2022] [Accepted: 11/22/2022] [Indexed: 01/07/2023]
Abstract
We investigate a 2,000-year genetic transect through Scandinavia spanning the Iron Age to the present, based on 48 new and 249 published ancient genomes and genotypes from 16,638 modern individuals. We find regional variation in the timing and magnitude of gene flow from three sources: the eastern Baltic, the British-Irish Isles, and southern Europe. British-Irish ancestry was widespread in Scandinavia from the Viking period, whereas eastern Baltic ancestry is more localized to Gotland and central Sweden. In some regions, a drop in current levels of external ancestry suggests that ancient immigrants contributed proportionately less to the modern Scandinavian gene pool than indicated by the ancestry of genomes from the Viking and Medieval periods. Finally, we show that a north-south genetic cline that characterizes modern Scandinavians is mainly due to the differential levels of Uralic ancestry and that this cline existed in the Viking Age and possibly earlier.
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Affiliation(s)
- Ricardo Rodríguez-Varela
- Centre for Palaeogenetics, 106 91 Stockholm, Sweden; Department of Archaeology and Classical Studies, Stockholm University, 10691 Stockholm, Sweden.
| | | | - S Sunna Ebenesersdóttir
- deCODE Genetics/AMGEN, Inc., 102 Reykjavik, Iceland; Department of Anthropology, University of Iceland, 102 Reykjavik, Iceland
| | - Gulsah Merve Kilinc
- Department of Bioinformatics, Graduate School of Health Sciences, Hacettepe University, 06100 Ankara, Turkey
| | - Anna Kjellström
- Department of Archaeology and Classical Studies, Stockholm University, 10691 Stockholm, Sweden
| | | | - Clara Alfsdotter
- Department of Archaeology, Bohusläns Museum, Museigatan 1, 451 19 Udevalla, Sweden
| | - Birgitta Berglund
- Department of Archaeology and Cultural History, NTNU University Museum, Norwegian University of Science and Technology (NTNU), 7491 Trondheim, Norway
| | - Loey Alrawi
- Department of Archaeology and Classical Studies, Stockholm University, 10691 Stockholm, Sweden
| | - Natalija Kashuba
- Department of Archaeology and Classical Studies, Stockholm University, 10691 Stockholm, Sweden; Department of Archaeology and Ancient History, Archaeology, Uppsala University, 752 38 Uppsala, Sweden; Department of Organismal Biology, Human Evolution, and SciLife Lab, Uppsala University, 75236 Uppsala, Sweden
| | - Verónica Sobrado
- Department of Archaeology and Classical Studies, Stockholm University, 10691 Stockholm, Sweden
| | - Vendela Kempe Lagerholm
- Centre for Palaeogenetics, 106 91 Stockholm, Sweden; Department of Archaeology and Classical Studies, Stockholm University, 10691 Stockholm, Sweden
| | - Edmund Gilbert
- School of Pharmacy and Biomolecular Sciences, RCSI, D02 YN77 Dublin, Ireland; FutureNeuro SFI Research Centre, RCSI, D02 YN77 Dublin, Ireland
| | - Gianpiero L Cavalleri
- School of Pharmacy and Biomolecular Sciences, RCSI, D02 YN77 Dublin, Ireland; FutureNeuro SFI Research Centre, RCSI, D02 YN77 Dublin, Ireland
| | - Eivind Hovig
- Department of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, 0424 Oslo, Norway; Centre for Bioinformatics, Department of Informatics, University of Oslo, 166 0450 Oslo, Norway
| | - Ingrid Kockum
- Center for Molecular Medicine, Department of Clinical Neuroscience, Neuroimmunology Unit, Karolinska Institutet, 171 76 Stockholm, Sweden
| | - Tomas Olsson
- Center for Molecular Medicine, Department of Clinical Neuroscience, Neuroimmunology Unit, Karolinska Institutet, 171 76 Stockholm, Sweden
| | - Lars Alfredsson
- Institute of Environmental Medicine, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Thomas F Hansen
- Institute of Biological Psychiatry, Copenhagen Mental Health Services, 4000 Roskilde, Denmark; Danish Headache Center, Department of Neurology, Copenhagen University Hospital, 2600 Glostrup, Denmark
| | - Thomas Werge
- Institute of Biological Psychiatry, Copenhagen Mental Health Services, 4000 Roskilde, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen 2200, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, 8210 Aarhus, Denmark
| | - Arielle R Munters
- Department of Organismal Biology, Human Evolution, and SciLife Lab, Uppsala University, 75236 Uppsala, Sweden
| | - Carolina Bernhardsson
- Department of Organismal Biology, Human Evolution, and SciLife Lab, Uppsala University, 75236 Uppsala, Sweden
| | - Birgitte Skar
- Department of Archaeology and Cultural History, NTNU University Museum, Norwegian University of Science and Technology (NTNU), 7491 Trondheim, Norway
| | - Axel Christophersen
- Department of Archaeology and Cultural History, NTNU University Museum, Norwegian University of Science and Technology (NTNU), 7491 Trondheim, Norway
| | - Gordon Turner-Walker
- Department of Archaeology and Anthropology National Museum of Natural Science, 404023 Taichung City, Taiwan
| | - Shyam Gopalakrishnan
- Center for Evolutionary Hologenomics, the GLOBE Institute, University of Copenhagen, 1353 Copenhagen, Denmark
| | - Eva Daskalaki
- Department of Archaeology and Classical Studies, Stockholm University, 10691 Stockholm, Sweden
| | - Ayça Omrak
- Department of Archaeology and Classical Studies, Stockholm University, 10691 Stockholm, Sweden
| | - Patxi Pérez-Ramallo
- isoTROPIC Research Group, Department of Archaeology, Max Planck Institute for Geoanthropology, 07745 Jena, Germany; Department of Medical and Surgical Specialities, Faculty of Medicine and Nursing, University of the Basque Country (EHU), Donostia-San Sebastián 20014, Spain
| | | | - Linus Girdland-Flink
- Department of Archaeology, School of Geosciences, University of Aberdeen, AB24 3FX Aberdeen, UK; School of Biological and Environmental Sciences, Liverpool John Moores University, L3 3AF Liverpool, UK
| | - Fredrik Gunnarsson
- Department of Museum Archaeology, Kalmar County Museum, Box 104, Kalmar 39121, Sweden
| | | | - M Thomas P Gilbert
- Center for Evolutionary Hologenomics, the GLOBE Institute, University of Copenhagen, 1353 Copenhagen, Denmark; Department of Natural History, NTNU University Museum, Norwegian University of Science and Technology (NTNU), 7491 Trondheim, Norway
| | - Kerstin Lidén
- Department of Archaeology and Classical Studies, Stockholm University, 10691 Stockholm, Sweden
| | - Mattias Jakobsson
- Department of Organismal Biology, Human Evolution, and SciLife Lab, Uppsala University, 75236 Uppsala, Sweden
| | - Lars Einarsson
- Kronan, Marine Archaeological Department, Kalmar County Museum, Box 104, Kalmar S-39121, Sweden
| | - Helena Victor
- Department of Museum Archaeology, Kalmar County Museum, Box 104, Kalmar 39121, Sweden
| | - Maja Krzewińska
- Centre for Palaeogenetics, 106 91 Stockholm, Sweden; Department of Archaeology and Classical Studies, Stockholm University, 10691 Stockholm, Sweden
| | | | - Jan Storå
- Department of Archaeology and Classical Studies, Stockholm University, 10691 Stockholm, Sweden
| | - Kári Stefánsson
- deCODE Genetics/AMGEN, Inc., 102 Reykjavik, Iceland; Faculty of Medicine, University of Iceland, Reykjavik 101, Iceland
| | - Agnar Helgason
- deCODE Genetics/AMGEN, Inc., 102 Reykjavik, Iceland; Department of Anthropology, University of Iceland, 102 Reykjavik, Iceland.
| | - Anders Götherström
- Centre for Palaeogenetics, 106 91 Stockholm, Sweden; Department of Archaeology and Classical Studies, Stockholm University, 10691 Stockholm, Sweden.
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5
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Gretzinger J, Sayer D, Justeau P, Altena E, Pala M, Dulias K, Edwards CJ, Jodoin S, Lacher L, Sabin S, Vågene ÅJ, Haak W, Ebenesersdóttir SS, Moore KHS, Radzeviciute R, Schmidt K, Brace S, Bager MA, Patterson N, Papac L, Broomandkhoshbacht N, Callan K, Harney É, Iliev L, Lawson AM, Michel M, Stewardson K, Zalzala F, Rohland N, Kappelhoff-Beckmann S, Both F, Winger D, Neumann D, Saalow L, Krabath S, Beckett S, Van Twest M, Faulkner N, Read C, Barton T, Caruth J, Hines J, Krause-Kyora B, Warnke U, Schuenemann VJ, Barnes I, Dahlström H, Clausen JJ, Richardson A, Popescu E, Dodwell N, Ladd S, Phillips T, Mortimer R, Sayer F, Swales D, Stewart A, Powlesland D, Kenyon R, Ladle L, Peek C, Grefen-Peters S, Ponce P, Daniels R, Spall C, Woolcock J, Jones AM, Roberts AV, Symmons R, Rawden AC, Cooper A, Bos KI, Booth T, Schroeder H, Thomas MG, Helgason A, Richards MB, Reich D, Krause J, Schiffels S. The Anglo-Saxon migration and the formation of the early English gene pool. Nature 2022; 610:112-119. [PMID: 36131019 PMCID: PMC9534755 DOI: 10.1038/s41586-022-05247-2] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2021] [Accepted: 08/17/2022] [Indexed: 11/09/2022]
Abstract
The history of the British Isles and Ireland is characterized by multiple periods of major cultural change, including the influential transformation after the end of Roman rule, which precipitated shifts in language, settlement patterns and material culture1. The extent to which migration from continental Europe mediated these transitions is a matter of long-standing debate2-4. Here we study genome-wide ancient DNA from 460 medieval northwestern Europeans-including 278 individuals from England-alongside archaeological data, to infer contemporary population dynamics. We identify a substantial increase of continental northern European ancestry in early medieval England, which is closely related to the early medieval and present-day inhabitants of Germany and Denmark, implying large-scale substantial migration across the North Sea into Britain during the Early Middle Ages. As a result, the individuals who we analysed from eastern England derived up to 76% of their ancestry from the continental North Sea zone, albeit with substantial regional variation and heterogeneity within sites. We show that women with immigrant ancestry were more often furnished with grave goods than women with local ancestry, whereas men with weapons were as likely not to be of immigrant ancestry. A comparison with present-day Britain indicates that subsequent demographic events reduced the fraction of continental northern European ancestry while introducing further ancestry components into the English gene pool, including substantial southwestern European ancestry most closely related to that seen in Iron Age France5,6.
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Affiliation(s)
- Joscha Gretzinger
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | | | | | | | - Maria Pala
- University of Huddersfield, Huddersfield, UK
| | - Katharina Dulias
- University of Huddersfield, Huddersfield, UK
- Institute of Geosystems and Bioindication, Technische Universität Braunschweig, Braunschweig, Germany
| | - Ceiridwen J Edwards
- University of Huddersfield, Huddersfield, UK
- University of Oxford, Oxford, UK
| | | | - Laura Lacher
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Susanna Sabin
- Center for Evolution and Medicine, Arizona State University, Tempe, AZ, USA
| | - Åshild J Vågene
- Globe Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Wolfgang Haak
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - S Sunna Ebenesersdóttir
- deCODE Genetics/AMGEN Inc., Reykjavík, Iceland
- Department of Anthropology, School of Social Sciences, University of Iceland, Reykjavík, Iceland
| | | | - Rita Radzeviciute
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | | | - Selina Brace
- Department of Earth Sciences, Natural History Museum, London, UK
| | - Martina Abenhus Bager
- Globe Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Nick Patterson
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Luka Papac
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Nasreen Broomandkhoshbacht
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Kimberly Callan
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Éadaoin Harney
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Lora Iliev
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Ann Marie Lawson
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Megan Michel
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Kristin Stewardson
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Fatma Zalzala
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Nadin Rohland
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | | | - Frank Both
- Landesmuseum Natur und Mensch, Oldenburg, Germany
| | | | | | - Lars Saalow
- Landesamt für Kultur und Denkmalpflege Mecklenburg-Vorpommern, Schwerin, Germany
| | - Stefan Krabath
- Institute for Historical Coastal Research (NIhK), Wilhelmshaven, Germany
| | - Sophie Beckett
- Sedgeford Historical and Archaeological Research Project, Sedgeford, UK
- Cranfield Forensic Institute, Cranfield Defence and Security, Cranfield University, Cranfield, UK
- Melbourne Dental School, University of Melbourne, Melbourne, Victoria, Australia
| | - Melanie Van Twest
- Sedgeford Historical and Archaeological Research Project, Sedgeford, UK
| | - Neil Faulkner
- Sedgeford Historical and Archaeological Research Project, Sedgeford, UK
| | - Chris Read
- The Atlantic Technological University, Sligo, Ireland
| | | | | | | | | | | | - Verena J Schuenemann
- University of Zurich, Zurich, Switzerland
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
- Human Evolution and Archaeological Sciences, University of Vienna, Vienna, Austria
| | - Ian Barnes
- Department of Earth Sciences, Natural History Museum, London, UK
| | | | | | - Andrew Richardson
- Canterbury Archaeological Trust, Canterbury, UK
- Isle Heritage CIC, Sandgate, UK
| | | | | | | | | | - Richard Mortimer
- Oxford Archaeology East, Cambridge, UK
- Cotswold Archaeology, Needham Market, UK
| | - Faye Sayer
- University of Birmingham, Birmingham, UK
| | - Diana Swales
- Centre for Anatomy and Human Identification (CAHID), University of Dundee, Dundee, UK
| | | | | | - Robert Kenyon
- East Dorset Antiquarian Society (EDAS), West Bexington, UK
| | - Lilian Ladle
- Department of Archaeology and Anthropology, Bournemouth University, Poole, UK
| | - Christina Peek
- Institute for Historical Coastal Research (NIhK), Wilhelmshaven, Germany
| | | | | | | | | | | | | | | | | | - Anooshka C Rawden
- Fishbourne Roman Palace, Fishbourne, UK
- South Downs Centre, Midhurst, UK
| | - Alan Cooper
- BlueSkyGenetics, Adelaide, South Australia, Australia
| | - Kirsten I Bos
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | | | - Hannes Schroeder
- Globe Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Agnar Helgason
- deCODE Genetics/AMGEN Inc., Reykjavík, Iceland
- Department of Anthropology, School of Social Sciences, University of Iceland, Reykjavík, Iceland
| | | | - David Reich
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Johannes Krause
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Stephan Schiffels
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
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6
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Ben Sassi-Zaidy Y, Mohamed-Brahmi A, Chaouch M, Maretto F, Cendron F, Charfi-Cheikhrouha F, Ben Abderrazak S, Djemali M, Cassandro M. Historical Westward Migration Phases of Ovis aries Inferred from the Population Structure and the Phylogeography of Occidental Mediterranean Native Sheep Breeds. Genes (Basel) 2022; 13:genes13081421. [PMID: 36011332 PMCID: PMC9408117 DOI: 10.3390/genes13081421] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 07/22/2022] [Accepted: 08/04/2022] [Indexed: 01/18/2023] Open
Abstract
In this study, the genetic relationship and the population structure of western Mediterranean basin native sheep breeds are investigated, analyzing Maghrebian, Central Italian, and Venetian sheep with a highly informative microsatellite markers panel. The phylogeographical analysis, between breeds’ differentiation level (Wright’s fixation index), gene flow, ancestral relatedness measured by molecular coancestry, genetic distances, divergence times estimates and structure analyses, were revealed based on the assessment of 975 genotyped animals. The results unveiled the past introduction and migration history of sheep in the occidental Mediterranean basin since the early Neolithic. Our findings provided a scenario of three westward sheep migration phases fitting properly to the westward Neolithic expansion argued by zooarcheological, historical and human genetic studies.
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Affiliation(s)
- Yousra Ben Sassi-Zaidy
- Laboratory of Diversity, Management and Conservation of Biological Systems, LR18ES06, Faculty of Sciences of Tunis, University of Tunis El Manar, Tunis 2092, Tunisia
- Department of Agronomy, Animal, Food, Natural Resources and Environment, University of Padova, 35020 Legnaro Padova, Italy
- Laboratory of Animal Genetic and Feed Resources Research, Department of Animal Science, Institut National Agronomique de Tunis (INAT), University of Carthage, Tunis-Mahragène Tunis 2078, Tunisia
- Correspondence: (Y.B.S.-Z.); (F.C.); Tel.: +39-049-8272871 (F.C.); Fax: +39-049-8272633 (F.C.)
| | - Aziza Mohamed-Brahmi
- Laboratory of Agricultural Production Systems Sustainability in the North Western Region of Tunisia, Department of Animal Production, Ecole Supérieure d’Agriculture du Kef Boulifa, University of Jendouba, Le Kef 7119, Tunisia
| | - Melek Chaouch
- Laboratory of Medical Parasitology, Biotechnology and Biomolecules (LR11IPT06), Institut Pasteur de Tunis, Tunis 1002, Tunisia
- Laboratory of Bioinformatics, Biomathematics and Biostatistics (LR16IPT09), Institut Pasteur de Tunis, Tunis 1002, Tunisia
| | - Fabio Maretto
- Department of Agronomy, Animal, Food, Natural Resources and Environment, University of Padova, 35020 Legnaro Padova, Italy
| | - Filippo Cendron
- Department of Agronomy, Animal, Food, Natural Resources and Environment, University of Padova, 35020 Legnaro Padova, Italy
- Correspondence: (Y.B.S.-Z.); (F.C.); Tel.: +39-049-8272871 (F.C.); Fax: +39-049-8272633 (F.C.)
| | - Faouzia Charfi-Cheikhrouha
- Laboratory of Diversity, Management and Conservation of Biological Systems, LR18ES06, Faculty of Sciences of Tunis, University of Tunis El Manar, Tunis 2092, Tunisia
| | - Souha Ben Abderrazak
- Laboratory of Medical Parasitology, Biotechnology and Biomolecules (LR11IPT06), Institut Pasteur de Tunis, Tunis 1002, Tunisia
| | - Mnaour Djemali
- Laboratory of Animal Genetic and Feed Resources Research, Department of Animal Science, Institut National Agronomique de Tunis (INAT), University of Carthage, Tunis-Mahragène Tunis 2078, Tunisia
| | - Martino Cassandro
- Department of Agronomy, Animal, Food, Natural Resources and Environment, University of Padova, 35020 Legnaro Padova, Italy
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7
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Revealing the recent demographic history of Europe via haplotype sharing in the UK Biobank. Proc Natl Acad Sci U S A 2022; 119:e2119281119. [PMID: 35696575 PMCID: PMC9233301 DOI: 10.1073/pnas.2119281119] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
Haplotype-based analyses have recently been leveraged to interrogate the fine-scale structure in specific geographic regions, notably in Europe, although an equivalent haplotype-based understanding across the whole of Europe with these tools is lacking. Furthermore, study of identity-by-descent (IBD) sharing in a large sample of haplotypes across Europe would allow a direct comparison between different demographic histories of different regions. The UK Biobank (UKBB) is a population-scale dataset of genotype and phenotype data collected from the United Kingdom, with established sampling of worldwide ancestries. The exact content of these non-UK ancestries is largely uncharacterized, where study could highlight valuable intracontinental ancestry references with deep phenotyping within the UKBB. In this context, we sought to investigate the sample of European ancestry captured in the UKBB. We studied the haplotypes of 5,500 UKBB individuals with a European birthplace; investigated the population structure and demographic history in Europe, showing in parallel the variety of footprints of demographic history in different genetic regions around Europe; and expand knowledge of the genetic landscape of the east and southeast of Europe. Providing an updated map of European genetics, we leverage IBD-segment sharing to explore the extent of population isolation and size across the continent. In addition to building and expanding upon previous knowledge in Europe, our results show the UKBB as a source of diverse ancestries beyond Britain. These worldwide ancestries sampled in the UKBB may complement and inform researchers interested in specific communities or regions not limited to Britain.
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8
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Sayın Z, Sancar M, Özen Y, Okuyan B. Polypharmacy, potentially inappropriate prescribing and medication complexity in Turkish older patients in the community pharmacy setting. Acta Clin Belg 2022; 77:273-279. [PMID: 33031002 DOI: 10.1080/17843286.2020.1829251] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
OBJECTIVE This study aimed to evaluate polypharmacy, potentially inappropriate prescribing (PIP) and medication complexity in Turkish older patients in the community pharmacy setting and to determine the factors associated with PIP. METHODS This descriptive cross-sectional study was conducted in the community pharmacy setting in Istanbul. Older patients (≥65 years old) who chronically used at least one medication and visited the community pharmacy for any reason in the past 4 months were invited in this study. PIP was determined by using the Ghent Older People's Prescriptions Community Pharmacy Screening (GheOP3S)-tool. The Turkish version of the Medication Regimen Complexity Index (MRCI) was used to determine medication complexity. RESULTS Polypharmacy (defined as the concurrent use of five or more medications) was found in 69.0% of 158 patients. A total of 398 PIPs were detected and 83.5% (n = 132) of older patients had at least one PIP. The median (IQR) MRCI score was 12.5 (7.0-19.6). The factors associated with having ≥2 PIP were advanced age (≥75 years old) (OR = 2.87, 95% CI 1.41-5.81; p < 0.05), higher number of chronic diseases (when ≥3, OR = 8.51, 95% CI 3.66-19.76; p < 0.05), receiving polypharmacy (OR = 8.92, 95% CI 4.09-19.46; p < 0.05), and higher MRCI scores (when MRCI ≥12.5, OR = 4.40, 95% CI 2.22-8.71; p < 0.05). CONCLUSION More than half of the Turkish older patients had polypharmacy and the rate of PIP was high. A higher number of PIP was associated with advanced age, higher number of chronic diseases, polypharmacy, and more complex medication regimens.
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Affiliation(s)
- Zeynep Sayın
- Department of Clinical Pharmacy, Faculty of Pharmacy, Marmara University, Istanbul, Turkey
| | - Mesut Sancar
- Department of Clinical Pharmacy, Faculty of Pharmacy, Marmara University, Istanbul, Turkey
| | - Yasin Özen
- Department of Clinical Pharmacy, Faculty of Pharmacy, Marmara University, Istanbul, Turkey
| | - Betul Okuyan
- Department of Clinical Pharmacy, Faculty of Pharmacy, Marmara University, Istanbul, Turkey
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9
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Gingell G, Bergemann AD. Disrupting Essentialism in Medical Genetics Education. MEDICAL SCIENCE EDUCATOR 2022; 32:255-262. [PMID: 35154900 PMCID: PMC8814072 DOI: 10.1007/s40670-021-01458-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 11/03/2021] [Indexed: 06/14/2023]
Abstract
Many traditional practices in medical genetics education need review to counteract messages of essentialism, or the belief in an underlying natural structure differentiating social categories. While genomics research increasingly disproves a genetic foundation for race, research from educational scholars demonstrates that current medical genetics instruction may actually reinforce racial bias in learners. In this monograph, we outline seven recommendations for medical educators to actively counteract essentialism, racial, and otherwise, in the genetics classroom. In particular, we emphasize the importance of engaging learners in nuanced discussions around stereotyping and its negative consequences for both accurate diagnoses and promoting health equity.
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Affiliation(s)
- Gareth Gingell
- Department of Medical Education, Dell Medical School at The University of Texas at Austin, Austin, TX USA
| | - Andrew D. Bergemann
- Department of Medical Education, Dell Medical School at The University of Texas at Austin, Austin, TX USA
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10
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Balanovsky O, Petrushenko V, Mirzaev K, Abdullaev S, Gorin I, Chernevskiy D, Agdzhoyan A, Balanovska E, Kryukov A, Temirbulatov I, Sychev D. Variation of Genomic Sites Associated with Severe Covid-19 Across Populations: Global and National Patterns. PHARMACOGENOMICS & PERSONALIZED MEDICINE 2021; 14:1391-1402. [PMID: 34764675 PMCID: PMC8575442 DOI: 10.2147/pgpm.s320609] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 10/04/2021] [Indexed: 01/10/2023]
Abstract
Background Information about the distribution of clinically significant genetic markers in different populations may be helpful in elaborating personalized approaches to the clinical management of COVID-19 in the absence of consensus guidelines. Aim Analyze frequencies and distribution patterns of two markers associated with severe COVID-19 (rs11385942 and rs657152) and look for potential correlations between these markers and deaths from COVID-19 among populations in Russia and across the world. Methods We genotyped 1883 samples from 91 ethnic groups pooled into 28 populations representing Russia and its neighbor states. We also compiled a dataset on 32 populations from other regions using genotypes extracted or imputed from the available databases. Geographic maps showing the frequency distribution of the analyzed markers were constructed using the obtained data. Results The cartographic analysis revealed that rs11385942 distribution follows the West Eurasian pattern: the marker is frequent among the populations of Europe, West Asia and South Asia but rare or absent in all other parts of the globe. Notably, the transition from high to low rs11385942 frequencies across Eurasia is not abrupt but follows the clinal variation pattern instead. The distribution of rs657152 is more homogeneous. The analysis of correlations between the frequencies of the studied markers and the epidemiological characteristics of COVID-19 in a population revealed that higher frequencies of both risk alleles correlated positively with mortality from this disease. For rs657152, the correlation was especially strong (r = 0.59, p = 0.02). These reasonable correlations were observed for the "Russian" dataset only: no such correlations were established for the "world" dataset. This could be attributed to the differences in methodology used to collect COVID-19 statistics in different countries. Conclusion Our findings suggest that genetic differences between populations make a small yet tangible contribution to the heterogeneity of the pandemic worldwide.
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Affiliation(s)
- Oleg Balanovsky
- Laboratory of Genome Geography, Vavilov Institute of General Genetics, Moscow, Russia.,Laboratory of Human Population Genetics, Research Centre for Medical Genetics, Moscow, Russia.,Biobank of North Eurasia, Moscow, Russia
| | - Valeria Petrushenko
- Laboratory of Genome Geography, Vavilov Institute of General Genetics, Moscow, Russia.,Department of Bioinformatics Moscow Institute of Physics and Technology, Moscow, Russia
| | - Karin Mirzaev
- Laboratory of Human Population Genetics, Research Centre for Medical Genetics, Moscow, Russia.,Department of Clinical Pharmacology and Therapeutics, Russian Medical Academy of Continuous Professional Education, Moscow, Russia
| | - Sherzod Abdullaev
- Department of Clinical Pharmacology and Therapeutics, Russian Medical Academy of Continuous Professional Education, Moscow, Russia
| | - Igor Gorin
- Laboratory of Genome Geography, Vavilov Institute of General Genetics, Moscow, Russia.,Department of Bioinformatics Moscow Institute of Physics and Technology, Moscow, Russia
| | - Denis Chernevskiy
- Laboratory of Human Population Genetics, Research Centre for Medical Genetics, Moscow, Russia
| | - Anastasiya Agdzhoyan
- Laboratory of Genome Geography, Vavilov Institute of General Genetics, Moscow, Russia.,Laboratory of Human Population Genetics, Research Centre for Medical Genetics, Moscow, Russia
| | - Elena Balanovska
- Laboratory of Human Population Genetics, Research Centre for Medical Genetics, Moscow, Russia.,Biobank of North Eurasia, Moscow, Russia
| | - Alexander Kryukov
- Department of Clinical Pharmacology and Therapeutics, Russian Medical Academy of Continuous Professional Education, Moscow, Russia
| | - Ilyas Temirbulatov
- Laboratory of Human Population Genetics, Research Centre for Medical Genetics, Moscow, Russia.,Department of Clinical Pharmacology and Therapeutics, Russian Medical Academy of Continuous Professional Education, Moscow, Russia
| | - Dmitriy Sychev
- Department of Clinical Pharmacology and Therapeutics, Russian Medical Academy of Continuous Professional Education, Moscow, Russia
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11
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Phylogeographic review of Y chromosome haplogroups in Europe. Int J Legal Med 2021; 135:1675-1684. [PMID: 34216266 DOI: 10.1007/s00414-021-02644-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 06/16/2021] [Indexed: 10/20/2022]
Abstract
The Y chromosome has been widely explored for the study of human migrations. Due to its paternal inheritance, the Y chromosome polymorphisms are helpful tools for understanding the geographical distribution of populations all over the world and for inferring their origin, which is really useful in forensics. The remarkable historical context of Europe, with numerous migrations and invasions, has turned this continent into a melting pot. For this reason, it is interesting to study the Y chromosome variability and how it has contributed to improving our knowledge of the distribution and development of European male genetic pool as it is today. The analysis of Y lineages in Europe shows the predominance of four haplogroups, R1b-M269, I1-M253, I2-M438 and R1a-M420. However, other haplogroups have been identified which, although less frequent, provide significant evidence about the paternal origin of the populations. In addition, the study of the Y chromosome in Europe is a valuable tool for revealing the genetic trace of the different European colonizations, mainly in several American countries, where the European ancestry is mostly detected by the presence of the R1b-M269 haplogroup. Therefore, the objective of this review is to compile the studies of the Y chromosome haplogroups in current European populations, in order to provide an outline of these haplogroups which facilitate their use in forensic studies.
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12
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Babić Jordamović N, Kojović T, Dogan S, Bešić L, Salihefendić L, Konjhodžić R, Škaro V, Projić P, Hadžiavdić V, Ašić A, Marjanović D. Haplogroup Prediction Using Y-Chromosomal Short Tandem Repeats in the General Population of Bosnia and Herzegovina. Front Genet 2021; 12:671467. [PMID: 34178033 PMCID: PMC8226213 DOI: 10.3389/fgene.2021.671467] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Accepted: 04/28/2021] [Indexed: 11/20/2022] Open
Abstract
Human Y-chromosomal haplogroups are an important tool used in population genetics and forensic genetics. A conventional method used for Y haplogroup assignment is based on a set of Y-single nucleotide polymorphism (SNP) markers deployed, which exploits the low mutation rate nature of these markers. Y chromosome haplogroups can be successfully predicted from Y-short tandem repeat (STR) markers using different software packages, and this method gained much attention recently due to its labor-, time-, and cost-effectiveness. The present study was based on the analysis of a total of 480 adult male buccal swab samples collected from different regions of Bosnia and Herzegovina. Y haplogroup prediction was performed using Whit Athey’s Haplogroup Predictor, based on haplotype data on 23 Y-STR markers contained within the PowerPlex® Y23 kit. The results revealed the existence of 14 different haplogroups, with I2a, R1a, and E1b1b being the most prevalent with frequencies of 43.13, 14.79, and 14.58%, respectively. Compared to the previously published studies on Bosnian-Herzegovinian population based on Y-SNP and Y-STR data, this study represents an upgrade of molecular genetic data with a significantly larger number of samples, thus offering more accurate results and higher probability of detecting rare haplogroups.
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Affiliation(s)
- Naida Babić Jordamović
- Department of Genetics and Bioengineering, International Burch University, Sarajevo, Bosnia and Herzegovina
| | - Tamara Kojović
- Department of Genetics and Bioengineering, International Burch University, Sarajevo, Bosnia and Herzegovina
| | - Serkan Dogan
- Department of Genetics and Bioengineering, International Burch University, Sarajevo, Bosnia and Herzegovina
| | - Larisa Bešić
- Department of Genetics and Bioengineering, International Burch University, Sarajevo, Bosnia and Herzegovina
| | - Lana Salihefendić
- Department of Genetics and Bioengineering, International Burch University, Sarajevo, Bosnia and Herzegovina.,ALEA Genetic Center, Sarajevo, Bosnia and Herzegovina
| | | | - Vedrana Škaro
- Molecular Anthropology Laboratory, Center for Applied Bioanthropology, Institute for Anthropological Research, Zagreb, Croatia.,DNA Laboratory, Genos Ltd., Zagreb, Croatia
| | - Petar Projić
- Molecular Anthropology Laboratory, Center for Applied Bioanthropology, Institute for Anthropological Research, Zagreb, Croatia.,DNA Laboratory, Genos Ltd., Zagreb, Croatia
| | - Vesna Hadžiavdić
- Department of Biology, University of Tuzla, Tuzla, Bosnia and Herzegovina
| | - Adna Ašić
- Department of Genetics and Bioengineering, International Burch University, Sarajevo, Bosnia and Herzegovina
| | - Damir Marjanović
- Department of Genetics and Bioengineering, International Burch University, Sarajevo, Bosnia and Herzegovina.,Molecular Anthropology Laboratory, Center for Applied Bioanthropology, Institute for Anthropological Research, Zagreb, Croatia
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13
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Bose A, Platt DE, Parida L, Drineas P, Paschou P. Integrating Linguistics, Social Structure, and Geography to Model Genetic Diversity within India. Mol Biol Evol 2021; 38:1809-1819. [PMID: 33481022 PMCID: PMC8097304 DOI: 10.1093/molbev/msaa321] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
India represents an intricate tapestry of population substructure shaped by geography, language, culture, and social stratification. Although geography closely correlates with genetic structure in other parts of the world, the strict endogamy imposed by the Indian caste system and the large number of spoken languages add further levels of complexity to understand Indian population structure. To date, no study has attempted to model and evaluate how these factors have interacted to shape the patterns of genetic diversity within India. We merged all publicly available data from the Indian subcontinent into a data set of 891 individuals from 90 well-defined groups. Bringing together geography, genetics, and demographic factors, we developed Correlation Optimization of Genetics and Geodemographics to build a model that explains the observed population genetic substructure. We show that shared language along with social structure have been the most powerful forces in creating paths of gene flow in the subcontinent. Furthermore, we discover the ethnic groups that best capture the diverse genetic substructure using a ridge leverage score statistic. Integrating data from India with a data set of additional 1,323 individuals from 50 Eurasian populations, we find that Indo-European and Dravidian speakers of India show shared genetic drift with Europeans, whereas the Tibeto-Burman speaking tribal groups have maximum shared genetic drift with East Asians.
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Affiliation(s)
- Aritra Bose
- Computational Genomics, IBM T.J. Watson Research Center, Yorktown Heights, NY, USA
| | - Daniel E Platt
- Computational Genomics, IBM T.J. Watson Research Center, Yorktown Heights, NY, USA
| | - Laxmi Parida
- Computational Genomics, IBM T.J. Watson Research Center, Yorktown Heights, NY, USA
| | - Petros Drineas
- Computer Science Department, Purdue University, West Lafayette, IN, USA
| | - Peristera Paschou
- Department of Biological Sciences, Purdue University, West Lafayette, IN, USA
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14
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Huang X, Wang S, Jin L, He Y. Dissecting dynamics and differences of selective pressures in the evolution of human pigmentation. Biol Open 2021; 10:bio056523. [PMID: 33495209 PMCID: PMC7888712 DOI: 10.1242/bio.056523] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2020] [Accepted: 12/21/2020] [Indexed: 01/05/2023] Open
Abstract
Human pigmentation is a highly diverse and complex trait among populations and has drawn particular attention from both academic and non-academic investigators for thousands of years. Previous studies detected selection signals in several human pigmentation genes, but few studies have integrated contribution from multiple genes to the evolution of human pigmentation. Moreover, none has quantified selective pressures on human pigmentation over epochs and between populations. Here, we dissect dynamics and differences of selective pressures during different periods and between distinct populations with new approaches. We use genotype data of 19 genes associated with human pigmentation from 17 publicly available datasets and obtain data for 2346 individuals of six representative population groups from across the world. Our results quantify the strength of natural selection on light pigmentation not only in modern Europeans (0.0259/generation) but also in proto-Eurasians (0.00650/generation). Our results also suggest that several derived alleles associated with human dark pigmentation may be under positive directional selection in some African populations. Our study provides the first attempt to quantitatively investigate the dynamics of selective pressures during different time periods in the evolution of human pigmentation.This article has an associated First Person interview with the first author of the article.
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Affiliation(s)
- Xin Huang
- Chinese Academy of Sciences Key Laboratory of Computational Biology, Chinese Academy of Sciences-Max Planck Society Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Sijia Wang
- Chinese Academy of Sciences Key Laboratory of Computational Biology, Chinese Academy of Sciences-Max Planck Society Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
- State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai 200433, China
| | - Li Jin
- Chinese Academy of Sciences Key Laboratory of Computational Biology, Chinese Academy of Sciences-Max Planck Society Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
- State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai 200433, China
| | - Yungang He
- Key Laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China
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15
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Balanovska EV, Petrushenko VS, Koshel SM, Pocheshkhova EA, Chernevskiy DK, Mirzaev KB, Abdullaev S, Balanovsky OP. Cartographic atlas of frequency variation for 45 pharmacogenetic markers in populations of Russia and its neighbor states. BULLETIN OF RUSSIAN STATE MEDICAL UNIVERSITY 2020. [DOI: 10.24075/brsmu.2020.080] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
The lack of information about the frequency of pharmacogenetic markers in Russia impedes the adoption of personalized treatment algorithms originally developed for West European populations. The aim of this paper was to study the distribution of some clinically significant pharmacogenetic markers across Russia. A total of 45 pharmacogenetic markers were selected from a few population genetic datasets, including ADME, drug target and hemostasis-controlling genes. The total number of donors genotyped for these markers was 2,197. The frequencies of these markers were determined for 50 different populations, comprised of 137 ethnic and subethnic groups. A comprehensive pharmacogenetic atlas was created, i.e. a systematic collection of gene geographic maps of frequency variation for 45 pharmacogenetic DNA markers in Russia and its neighbor states. The maps revealed 3 patterns of geographic variation. Clinal variation (a gradient change in frequency along the East-West axis) is observed in the pharmacogenetic markers that follow the main pattern of variation for North Eurasia (13% of the maps). Uniform distribution singles out a group of markers that occur at average frequency in most Russian regions (27% of the maps). Focal variation is observed in the markers that are specific to a certain group of populations and are absent in other regions (60% of the maps). The atlas reveals that the average frequency of the marker and its frequency in individual populations do not indicate the type of its distribution in Russia: a gene geographic map is needed to uncover the pattern of its variation.
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Affiliation(s)
- EV Balanovska
- Bochkov Research Center for Medical Genetics, Moscow, Russia; Biobank of North Eurasia, Moscow, Russia
| | - VS Petrushenko
- Bochkov Research Center for Medical Genetics, Moscow, Russia; Vavilov Institute of General Genetics, Moscow, Russia
| | - SM Koshel
- Bochkov Research Center for Medical Genetics, Moscow, Russia; Lomonosov Moscow State University, Moscow, Russia
| | - EA Pocheshkhova
- Bochkov Research Center for Medical Genetics, Moscow, Russia; Kuban State Medical Institute, Krasnodar, Russia
| | - DK Chernevskiy
- Bochkov Research Center for Medical Genetics, Moscow, Russia
| | - KB Mirzaev
- Russian Medical Academy of Continuous Professional Education, Moscow, Russia
| | - ShP Abdullaev
- Russian Medical Academy of Continuous Professional Education, Moscow, Russia
| | - OP Balanovsky
- Bochkov Research Center for Medical Genetics, Moscow, Russia; Biobank of North Eurasia, Moscow, Russia; Vavilov Institute of General Genetics, Moscow, Russia
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16
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Ádám V, Bánfai Z, Maász A, Sümegi K, Miseta A, Melegh B. Investigating the genetic characteristics of the Csangos, a traditionally Hungarian speaking ethnic group residing in Romania. J Hum Genet 2020; 65:1093-1103. [PMID: 32653894 DOI: 10.1038/s10038-020-0799-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Revised: 06/23/2020] [Accepted: 06/27/2020] [Indexed: 11/09/2022]
Abstract
Csango people are an East-Central European ethnographic group living mostly in the historical region of Moldavia, Romania. Their traditional language, the Csango is an old Hungarian dialect, which is a severely endangered language due to language shift. Their origin is still disputed among experts and there are many hypotheses since the 19th century. Previous genetic studies found connection with ethnic groups living in Hungary and provided evidence which might support their Hungarian origin. Another study found Inner Asian Altaic ancestry in their genetic makeup. The goal of this study was to analyze the genetic characteristics of the Csango people by comparing their genetic characteristics to contemporary Eurasian populations based on genome-wide autosomal marker data. Our findings suggest that genetic affinity of Csangos to Hungarians is more significant than to Romanians. They also have a detectable connection with Central-Asian and Siberian Turkic ethnic groups. Besides the presumable Middle Eastern/Central-Asian Turkic ancestry, Csangos show ~4% Turkic ancestry from Central Asia/Siberia, which makes them unique in comparison to all other East-Central European populations investigated in this study. The admixture that resulted in this Turkic ancestry could have occurred 30-40 generations ago, which date interval corresponds to Hungarian historical events regarding their migration and the conquest of the Carpathian basin.
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Affiliation(s)
- Valerián Ádám
- Department of Medical Genetics, Clinical Centre, University of Pécs, Pécs, Hungary.,Szentágothai Research Centre, University of Pécs, Pécs, Hungary
| | - Zsolt Bánfai
- Department of Medical Genetics, Clinical Centre, University of Pécs, Pécs, Hungary. .,Szentágothai Research Centre, University of Pécs, Pécs, Hungary.
| | - Anita Maász
- Department of Medical Genetics, Clinical Centre, University of Pécs, Pécs, Hungary.,Szentágothai Research Centre, University of Pécs, Pécs, Hungary
| | - Katalin Sümegi
- Department of Medical Genetics, Clinical Centre, University of Pécs, Pécs, Hungary.,Szentágothai Research Centre, University of Pécs, Pécs, Hungary
| | - Attila Miseta
- Department of Laboratory Medicine, Medical School, University of Pécs, Pécs, Hungary
| | - Béla Melegh
- Department of Medical Genetics, Clinical Centre, University of Pécs, Pécs, Hungary. .,Szentágothai Research Centre, University of Pécs, Pécs, Hungary.
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17
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Davidovic S, Malyarchuk B, Grzybowski T, Aleksic JM, Derenko M, Litvinov A, Rogalla-Ładniak U, Stevanovic M, Kovacevic-Grujicic N. Complete mitogenome data for the Serbian population: the contribution to high-quality forensic databases. Int J Legal Med 2020; 134:1581-1590. [PMID: 32504149 DOI: 10.1007/s00414-020-02324-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2019] [Accepted: 05/28/2020] [Indexed: 11/24/2022]
Abstract
Mitochondrial genome (mtDNA) is a valuable resource in resolving various human forensic casework. The usage of variability of complete mtDNA genomes increases their discriminatory power to the maximum and enables ultimate resolution of distinct maternal lineages. However, their wider employment in forensic casework is nowadays limited by the lack of appropriate reference database. In order to fill in the gap in the reference data, which, considering Slavic-speaking populations, currently comprises only mitogenomes of East and West Slavs, we present mitogenome data for 226 Serbians, representatives of South Slavs from the Balkan Peninsula. We found 143 (sub)haplogroups among which West Eurasian ones were dominant. The percentage of unique haplotypes was 85%, and the random match probability was as low as 0.53%. We support previous findings on both high levels of genetic diversity in the Serbian population and patterns of genetic differentiation among this and ten studied European populations. However, our high-resolution data supported more pronounced genetic differentiation among Serbians and two Slavic populations (Russians and Poles) as well as expansion of the Serbian population after the Last Glacial Maximum and during the Migration period (fourth to ninth century A.D.), as inferred from the Bayesian skyline analysis. Phylogenetic analysis of haplotypes found in Serbians contributed towards the improvement of the worldwide mtDNA phylogeny, which is essential for the interpretation of the mtDNA casework.
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Affiliation(s)
- Slobodan Davidovic
- Institute of Molecular Genetics and Genetic Engineering, University of Belgrade, PO Box 23, Vojvode Stepe 444a, Belgrade, 11010, Serbia.,Department of Genetics of Populations and Ecogenotoxicology, Institute for Biological Research "Siniša Stanković", National Institute of Republic of Serbia, University of Belgrade, Bulevar despota Stefana 142, Belgrade, 11060, Serbia
| | - Boris Malyarchuk
- Genetics Laboratory, Institute of Biological Problems of the North, Russian Academy of Sciences, Portovaya 18, Magadan, 685000, Russia
| | - Tomasz Grzybowski
- Department of Forensic Medicine, Division of Molecular and Forensic Genetics, Ludwik Rydygier Collegium Medicum, Faculty of Medicine, Nicolaus Copernicus University, Marii-Sklodowskiej-Curie Str. 9, 85-094, Bydgoszcz, Poland
| | - Jelena M Aleksic
- Institute of Molecular Genetics and Genetic Engineering, University of Belgrade, PO Box 23, Vojvode Stepe 444a, Belgrade, 11010, Serbia
| | - Miroslava Derenko
- Genetics Laboratory, Institute of Biological Problems of the North, Russian Academy of Sciences, Portovaya 18, Magadan, 685000, Russia
| | - Andrey Litvinov
- Genetics Laboratory, Institute of Biological Problems of the North, Russian Academy of Sciences, Portovaya 18, Magadan, 685000, Russia
| | - Urszula Rogalla-Ładniak
- Department of Forensic Medicine, Division of Molecular and Forensic Genetics, Ludwik Rydygier Collegium Medicum, Faculty of Medicine, Nicolaus Copernicus University, Marii-Sklodowskiej-Curie Str. 9, 85-094, Bydgoszcz, Poland
| | - Milena Stevanovic
- Institute of Molecular Genetics and Genetic Engineering, University of Belgrade, PO Box 23, Vojvode Stepe 444a, Belgrade, 11010, Serbia.,Faculty of Biology, University of Belgrade, Studentski Trg 16, Belgrade, 11000, Serbia.,Serbian Academy of Sciences and Arts, Kneza Mihaila 35, Belgrade, 11000, Serbia
| | - Natasa Kovacevic-Grujicic
- Institute of Molecular Genetics and Genetic Engineering, University of Belgrade, PO Box 23, Vojvode Stepe 444a, Belgrade, 11010, Serbia.
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18
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Abstract
Geographic patterns in human genetic diversity carry footprints of population history and provide insights for genetic medicine and its application across human populations. Summarizing and visually representing these patterns of diversity has been a persistent goal for human geneticists, and has revealed that genetic differentiation is frequently correlated with geographic distance. However, most analytical methods to represent population structure do not incorporate geography directly, and it must be considered post hoc alongside a visual summary of the genetic structure. Here, we estimate "effective migration" surfaces to visualize how human genetic diversity is geographically structured. The results reveal local patterns of differentiation in detail and emphasize that while genetic similarity generally decays with geographic distance, the relationship is often subtly distorted. Overall, the visualizations provide a new perspective on genetics and geography in humans and insight to the geographic distribution of human genetic variation.
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Affiliation(s)
- Benjamin M Peter
- Department of Human Genetics, University of Chicago, Chicago, IL
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Desislava Petkova
- Wellcome Trust Center for Human Genetics, University of Oxford, Oxford, United Kingdom
| | - John Novembre
- Department of Human Genetics, University of Chicago, Chicago, IL
- Department of Ecology & Evolution, University of Chicago, Chicago, IL
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19
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Ongaro L, Scliar MO, Flores R, Raveane A, Marnetto D, Sarno S, Gnecchi-Ruscone GA, Alarcón-Riquelme ME, Patin E, Wangkumhang P, Hellenthal G, Gonzalez-Santos M, King RJ, Kouvatsi A, Balanovsky O, Balanovska E, Atramentova L, Turdikulova S, Mastana S, Marjanovic D, Mulahasanovic L, Leskovac A, Lima-Costa MF, Pereira AC, Barreto ML, Horta BL, Mabunda N, May CA, Moreno-Estrada A, Achilli A, Olivieri A, Semino O, Tambets K, Kivisild T, Luiselli D, Torroni A, Capelli C, Tarazona-Santos E, Metspalu M, Pagani L, Montinaro F. The Genomic Impact of European Colonization of the Americas. Curr Biol 2019; 29:3974-3986.e4. [PMID: 31735679 DOI: 10.1016/j.cub.2019.09.076] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Revised: 09/06/2019] [Accepted: 09/30/2019] [Indexed: 12/30/2022]
Abstract
The human genetic diversity of the Americas has been affected by several events of gene flow that have continued since the colonial era and the Atlantic slave trade. Moreover, multiple waves of migration followed by local admixture occurred in the last two centuries, the impact of which has been largely unexplored. Here, we compiled a genome-wide dataset of ∼12,000 individuals from twelve American countries and ∼6,000 individuals from worldwide populations and applied haplotype-based methods to investigate how historical movements from outside the New World affected (1) the genetic structure, (2) the admixture profile, (3) the demographic history, and (4) sex-biased gene-flow dynamics of the Americas. We revealed a high degree of complexity underlying the genetic contribution of European and African populations in North and South America, from both geographic and temporal perspectives, identifying previously unreported sources related to Italy, the Middle East, and to specific regions of Africa.
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Affiliation(s)
- Linda Ongaro
- Estonian Biocentre, Institute of Genomics, Riia 23, Tartu 51010, Estonia; Department of Evolutionary Biology, Institute of Molecular and Cell Biology, Riia 23, Tartu 51010, Estonia.
| | - Marilia O Scliar
- Human Genome and Stem Cell Research Center, Biosciences Institute, University of São Paulo, São Paulo, SP 05508-090, Brazil; Departamento de Genética, Ecologia e Evolução, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG 31270-901, Brazil
| | - Rodrigo Flores
- Estonian Biocentre, Institute of Genomics, Riia 23, Tartu 51010, Estonia
| | - Alessandro Raveane
- Department of Biology and Biotechnology "L. Spallanzani", University of Pavia, Pavia 27100, Italy
| | - Davide Marnetto
- Estonian Biocentre, Institute of Genomics, Riia 23, Tartu 51010, Estonia
| | - Stefania Sarno
- Department of Biological, Geological and Environmental Sciences, University of Bologna, Bologna 40100, Italy
| | - Guido A Gnecchi-Ruscone
- Department of Biological, Geological and Environmental Sciences, University of Bologna, Bologna 40100, Italy; Department of Archaeogenetics, Max Planck Institute for the Science of Human History, Jena 07745, Germany
| | - Marta E Alarcón-Riquelme
- GENYO, Centre for Genomics and Oncological Research, Pfizer/University of Granada/Andalusian Regional Government, Granada 18016, Spain
| | - Etienne Patin
- Human Evolutionary Genetics Unit, Pasteur Institute, UMR2000, CNRS, Paris 75015, France
| | - Pongsakorn Wangkumhang
- Department of Genetics, Evolution and Environment and UCL Genetics Institute, University College London, London WC1E 6BT, UK
| | - Garrett Hellenthal
- Department of Genetics, Evolution and Environment and UCL Genetics Institute, University College London, London WC1E 6BT, UK
| | | | - Roy J King
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305-5101, USA
| | - Anastasia Kouvatsi
- Department of Genetics, Development and Molecular Biology, School of Biology, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece
| | - Oleg Balanovsky
- Vavilov Institute of General Genetics, Ulitsa Gubkina, 3, Moscow 117971, Russia; Research Centre for Medical Genetics, Moskvorech'ye Ulitsa, 1, Moscow 115478, Russia; Biobank of North Eurasia, Kotlyakovskaya Ulitsa, 3 строение 12, Moscow 115201, Russia
| | - Elena Balanovska
- Vavilov Institute of General Genetics, Ulitsa Gubkina, 3, Moscow 117971, Russia; Research Centre for Medical Genetics, Moskvorech'ye Ulitsa, 1, Moscow 115478, Russia; Biobank of North Eurasia, Kotlyakovskaya Ulitsa, 3 строение 12, Moscow 115201, Russia
| | - Lubov Atramentova
- Department of Genetics and Cytology, V.N. Karazin Kharkiv National University, Kharkiv 61022, Ukraine
| | - Shahlo Turdikulova
- Laboratory of Genomics, Institute of Bioorganic Chemistry, Academy of Sciences Republic of Uzbekistan, Tashkent 100047, Uzbekistan
| | - Sarabjit Mastana
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough LE11 3TU, UK
| | - Damir Marjanovic
- Department of Genetics and Bioengineering, Faculty of Engineering and Information Technologies, International Burch University, Sarajevo 71000, Bosnia and Herzegovina; Institute for Anthropological Researches, Zagreb, Croatia
| | | | - Andreja Leskovac
- Vinca Institute of Nuclear Sciences, University of Belgrade, M. Petrovica Alasa 12-14, Belgrade 11001, Serbia
| | - Maria F Lima-Costa
- Instituto de Pesquisa Rene Rachou, Fundação Oswaldo Cruz, Belo Horizonte, MG 30190-002, Brazil
| | - Alexandre C Pereira
- Instituto do Coração, Universidade de São Paulo, São Paulo, SP 05403-900, Brazil
| | - Mauricio L Barreto
- Instituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, BA 0110-040, Brazil; Center of Data and Knowledge Integration for Health (CIDACS), Fundação Oswaldo Cruz (FIOCRUZ), Salvador, BA 41745-715, Brazil
| | - Bernardo L Horta
- Programa de Pós-Graduação em Epidemiologia, Universidade Federal de Pelotas, 464, Pelotas, RS 96001-970, Brazil
| | - Nédio Mabunda
- Instituto Nacional de Saúde, Distrito de Marracuene, Estrada Nacional N 1, Província de Maputo, Maputo 1120, Mozambique
| | - Celia A May
- Department of Genetics & Genome Biology, University of Leicester, Leicester LE1 7RH, UK
| | - Andrés Moreno-Estrada
- National Laboratory of Genomics for Biodiversity (LANGEBIO), CINVESTAV, Irapuato, Guanajuato 36821, Mexico
| | - Alessandro Achilli
- Department of Biology and Biotechnology "L. Spallanzani", University of Pavia, Pavia 27100, Italy
| | - Anna Olivieri
- Department of Biology and Biotechnology "L. Spallanzani", University of Pavia, Pavia 27100, Italy
| | - Ornella Semino
- Department of Biology and Biotechnology "L. Spallanzani", University of Pavia, Pavia 27100, Italy
| | - Kristiina Tambets
- Estonian Biocentre, Institute of Genomics, Riia 23, Tartu 51010, Estonia
| | - Toomas Kivisild
- Department of Human Genetics, KU Leuven, Herestraat 49 - box 602, Leuven 3000, Belgium
| | - Donata Luiselli
- Department of Cultural Heritage, University of Bologna, Ravenna Campus, Ravenna 48100, Italy
| | - Antonio Torroni
- Department of Biology and Biotechnology "L. Spallanzani", University of Pavia, Pavia 27100, Italy
| | | | - Eduardo Tarazona-Santos
- Departamento de Genética, Ecologia e Evolução, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG 31270-901, Brazil
| | - Mait Metspalu
- Estonian Biocentre, Institute of Genomics, Riia 23, Tartu 51010, Estonia
| | - Luca Pagani
- Estonian Biocentre, Institute of Genomics, Riia 23, Tartu 51010, Estonia; Department of Biology, University of Padua, Via Ugo Bassi 58B, Padua 35100, Italy
| | - Francesco Montinaro
- Estonian Biocentre, Institute of Genomics, Riia 23, Tartu 51010, Estonia; Department of Zoology, University of Oxford, Oxford OX1 3SZ, UK.
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20
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Zhang C, Gao Y, Ning Z, Lu Y, Zhang X, Liu J, Xie B, Xue Z, Wang X, Yuan K, Ge X, Pan Y, Liu C, Tian L, Wang Y, Lu D, Hoh BP, Xu S. PGG.SNV: understanding the evolutionary and medical implications of human single nucleotide variations in diverse populations. Genome Biol 2019; 20:215. [PMID: 31640808 PMCID: PMC6805450 DOI: 10.1186/s13059-019-1838-5] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2019] [Accepted: 09/26/2019] [Indexed: 12/23/2022] Open
Abstract
Despite the tremendous growth of the DNA sequencing data in the last decade, our understanding of the human genome is still in its infancy. To understand the implications of genetic variants in the light of population genetics and molecular evolution, we developed a database, PGG.SNV ( https://www.pggsnv.org ), which gives much higher weight to previously under-investigated indigenous populations in Asia. PGG.SNV archives 265 million SNVs across 220,147 present-day genomes and 1018 ancient genomes, including 1009 newly sequenced genomes, representing 977 global populations. Moreover, estimation of population genetic diversity and evolutionary parameters is available in PGG.SNV, a unique feature compared with other databases.
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Affiliation(s)
- Chao Zhang
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, CAS, Shanghai, 200031, China
- Present Address: Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Yang Gao
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, CAS, Shanghai, 200031, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Zhilin Ning
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, CAS, Shanghai, 200031, China
| | - Yan Lu
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, CAS, Shanghai, 200031, China
| | - Xiaoxi Zhang
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, CAS, Shanghai, 200031, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Jiaojiao Liu
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, CAS, Shanghai, 200031, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Bo Xie
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, CAS, Shanghai, 200031, China
| | - Zhe Xue
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, CAS, Shanghai, 200031, China
| | - Xiaoji Wang
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, CAS, Shanghai, 200031, China
| | - Kai Yuan
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, CAS, Shanghai, 200031, China
| | - Xueling Ge
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, CAS, Shanghai, 200031, China
| | - Yuwen Pan
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, CAS, Shanghai, 200031, China
| | - Chang Liu
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, CAS, Shanghai, 200031, China
| | - Lei Tian
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, CAS, Shanghai, 200031, China
| | - Yuchen Wang
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, CAS, Shanghai, 200031, China
| | - Dongsheng Lu
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, CAS, Shanghai, 200031, China
| | - Boon-Peng Hoh
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, CAS, Shanghai, 200031, China
- Faculty of Medicine and Health Sciences, UCSI University, Jalan Menara Gading, Taman Connaught, Cheras, 56000, Kuala Lumpur, Malaysia
| | - Shuhua Xu
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, CAS, Shanghai, 200031, China.
- School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China.
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China.
- Collaborative Innovation Center of Genetics and Development, Shanghai, 200438, China.
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21
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Tamm E, Di Cristofaro J, Mazières S, Pennarun E, Kushniarevich A, Raveane A, Semino O, Chiaroni J, Pereira L, Metspalu M, Montinaro F. Genome-wide analysis of Corsican population reveals a close affinity with Northern and Central Italy. Sci Rep 2019; 9:13581. [PMID: 31537848 PMCID: PMC6753063 DOI: 10.1038/s41598-019-49901-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2019] [Accepted: 08/31/2019] [Indexed: 01/13/2023] Open
Abstract
Despite being the fourth largest island in the Mediterranean basin, the genetic variation of Corsica has not been explored as exhaustively as Sardinia, which is situated only 11 km South. However, it is likely that the populations of the two islands shared, at least in part, similar demographic histories. Moreover, the relative small size of the Corsica may have caused genetic isolation, which, in turn, might be relevant under medical and translational perspectives. Here we analysed genome wide data of 16 Corsicans, and integrated with newly (33 individuals) and previously generated samples from West Eurasia and North Africa. Allele frequency, haplotype-based, and ancient genome analyses suggest that although Sardinia and Corsica may have witnessed similar isolation and migration events, the latter is genetically closer to populations from continental Europe, such as Northern and Central Italians.
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Affiliation(s)
- Erika Tamm
- Institute of Genomics, University of Tartu, Tartu, Estonia.
| | - Julie Di Cristofaro
- Aix Marseille Univ, CNRS, EFS, ADES, Marseille, France.,Etablissement Français du Sang PACA Corse, Biologie des Groupes Sanguins, Marseille, France
| | | | - Erwan Pennarun
- Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Alena Kushniarevich
- Institute of Genomics, University of Tartu, Tartu, Estonia.,Institute of Genetics and Cytology, National Academy of Sciences of Belarus, Minsk, 220072, Belarus
| | - Alessandro Raveane
- Dipartimento di Biologia e Biotecnologie "L. Spallanzani" Università di Pavia, Via Ferrata 9, 27100, Pavia, Italy
| | - Ornella Semino
- Dipartimento di Biologia e Biotecnologie "L. Spallanzani" Università di Pavia, Via Ferrata 9, 27100, Pavia, Italy
| | - Jacques Chiaroni
- Aix Marseille Univ, CNRS, EFS, ADES, Marseille, France.,Etablissement Français du Sang PACA Corse, Biologie des Groupes Sanguins, Marseille, France
| | - Luisa Pereira
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135, Porto, Portugal.,Instituto de Patologia e Imunologia Molecular da Universidade do Porto (IPATIMUP), 4200-135, Porto, Portugal
| | - Mait Metspalu
- Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Francesco Montinaro
- Institute of Genomics, University of Tartu, Tartu, Estonia. .,Department of Zoology, University of Oxford, Oxford, UK.
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22
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Raveane A, Aneli S, Montinaro F, Athanasiadis G, Barlera S, Birolo G, Boncoraglio G, Di Blasio AM, Di Gaetano C, Pagani L, Parolo S, Paschou P, Piazza A, Stamatoyannopoulos G, Angius A, Brucato N, Cucca F, Hellenthal G, Mulas A, Peyret-Guzzon M, Zoledziewska M, Baali A, Bycroft C, Cherkaoui M, Chiaroni J, Di Cristofaro J, Dina C, Dugoujon JM, Galan P, Giemza J, Kivisild T, Mazieres S, Melhaoui M, Metspalu M, Myers S, Pereira L, Ricaut FX, Brisighelli F, Cardinali I, Grugni V, Lancioni H, Pascali VL, Torroni A, Semino O, Matullo G, Achilli A, Olivieri A, Capelli C. Population structure of modern-day Italians reveals patterns of ancient and archaic ancestries in Southern Europe. SCIENCE ADVANCES 2019; 5:eaaw3492. [PMID: 31517044 PMCID: PMC6726452 DOI: 10.1126/sciadv.aaw3492] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2018] [Revised: 04/10/2019] [Accepted: 08/06/2019] [Indexed: 05/10/2023]
Abstract
European populations display low genetic differentiation as the result of long-term blending of their ancient founding ancestries. However, it is unclear how the combination of ancient ancestries related to early foragers, Neolithic farmers, and Bronze Age nomadic pastoralists can explain the distribution of genetic variation across Europe. Populations in natural crossroads like the Italian peninsula are expected to recapitulate the continental diversity, but have been systematically understudied. Here, we characterize the ancestry profiles of Italian populations using a genome-wide dataset representative of modern and ancient samples from across Italy, Europe, and the rest of the world. Italian genomes capture several ancient signatures, including a non-steppe contribution derived ultimately from the Caucasus. Differences in ancestry composition, as the result of migration and admixture, have generated in Italy the largest degree of population structure detected so far in the continent, as well as shaping the amount of Neanderthal DNA in modern-day populations.
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Affiliation(s)
- A. Raveane
- Department of Biology and Biotechnology “L. Spallanzani”, University of Pavia, Pavia, Italy
- Department of Zoology, University of Oxford, Oxford, UK
- Corresponding author. (A.R.); (S.A.); (F.M.); (C.C.)
| | - S. Aneli
- Department of Zoology, University of Oxford, Oxford, UK
- Department of Medical Sciences, University of Turin, Turin, Italy
- IIGM (Italian Institute for Genomic Medicine), Turin, Italy
- Corresponding author. (A.R.); (S.A.); (F.M.); (C.C.)
| | - F. Montinaro
- Department of Zoology, University of Oxford, Oxford, UK
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Estonia
- Corresponding author. (A.R.); (S.A.); (F.M.); (C.C.)
| | - G. Athanasiadis
- Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
| | - S. Barlera
- Department of Cardiovascular Research, Istituto di Ricovero e Cura a Carattere Scientifico–Istituto di Ricerche Farmacologiche Mario Negri, Milan, Italy
| | - G. Birolo
- Department of Medical Sciences, University of Turin, Turin, Italy
- IIGM (Italian Institute for Genomic Medicine), Turin, Italy
| | - G. Boncoraglio
- Department of Cerebrovascular Diseases, IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
- PhD Program in Neuroscience, University Milano-Bicocca, Monza, Italy
| | - A. M. Di Blasio
- Istituto Auxologico Italiano, IRCCS, Centro di Ricerche e Tecnologie Biomediche, Milano, Italy
| | - C. Di Gaetano
- Department of Medical Sciences, University of Turin, Turin, Italy
- IIGM (Italian Institute for Genomic Medicine), Turin, Italy
| | - L. Pagani
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Estonia
- APE lab, Department of Biology, University of Padua, Padua, Italy
| | - S. Parolo
- Computational Biology Unit, Institute of Molecular Genetics, National Research Council, Pavia, Italy
| | - P. Paschou
- Department of Biological Sciences, Purdue University, West Lafayette, IN, USA
| | - A. Piazza
- Department of Medical Sciences, University of Turin, Turin, Italy
- Academy of Sciences, Turin, Italy
| | - G. Stamatoyannopoulos
- Department of Medicine and Genome Sciences, University of Washington, Seattle, WA, USA
| | - A. Angius
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Monserrato, Cagliari, Italy
| | - N. Brucato
- Evolutionary Medicine Group, Laboratoire d’Anthropologie Moléculaire et Imagerie de Synthèse, Centre National de la Recherche Scientifique (CNRS), Université de Toulouse, Toulouse, France
| | - F. Cucca
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Monserrato, Cagliari, Italy
| | - G. Hellenthal
- University College London Genetics Institute (UGI), University College London, London, UK
| | - A. Mulas
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Lanusei, Italy
| | - M. Peyret-Guzzon
- The Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - M. Zoledziewska
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Monserrato, Cagliari, Italy
| | - A. Baali
- Faculté des Sciences Semlalia de Marrakech (FSSM), Université Cadi Ayyad, Marrakech, Morocco
| | - C. Bycroft
- The Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - M. Cherkaoui
- Faculté des Sciences Semlalia de Marrakech (FSSM), Université Cadi Ayyad, Marrakech, Morocco
| | - J. Chiaroni
- Aix Marseille Univ, CNRS, EFS, ADES, Marseille, France
- Etablissement Français du Sang PACA Corse, Biologie des Groupes Sanguins, Marseille, France
| | - J. Di Cristofaro
- Aix Marseille Univ, CNRS, EFS, ADES, Marseille, France
- Etablissement Français du Sang PACA Corse, Biologie des Groupes Sanguins, Marseille, France
| | - C. Dina
- l’institut du thorax, INSERM, CNRS, University of Nantes, Nantes, France
| | - J. M. Dugoujon
- Evolutionary Medicine Group, Laboratoire d’Anthropologie Moléculaire et Imagerie de Synthèse, Centre National de la Recherche Scientifique (CNRS), Université de Toulouse, Toulouse, France
| | - P. Galan
- Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Statistiques, Université Paris 13/Inserm U1153/Inra U1125/ Cnam, COMUE Sorbonne Paris Cité, F-93017 Bobigny, France
| | - J. Giemza
- l’institut du thorax, INSERM, CNRS, University of Nantes, Nantes, France
| | - T. Kivisild
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Estonia
- Department of Human Genetics, KU Leuven, Herestraat 49, box 604, Leuven 3000, Belgium
| | - S. Mazieres
- Aix Marseille Univ, CNRS, EFS, ADES, Marseille, France
| | - M. Melhaoui
- Faculté des Sciences, Université Mohammed Premier, Oujda, Morocco
| | - M. Metspalu
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - S. Myers
- The Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - L. Pereira
- i3S–Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal
- IPATIMUP–Instituto de Patologia e Imunologia Molecular, Universidade do Porto, Porto, Portugal
| | - F. X. Ricaut
- Evolutionary Medicine Group, Laboratoire d’Anthropologie Moléculaire et Imagerie de Synthèse, Centre National de la Recherche Scientifique (CNRS), Université de Toulouse, Toulouse, France
| | - F. Brisighelli
- Section of Legal Medicine, Institute of Public Health, Catholic University of the Sacred Heart, Rome, Italy
| | - I. Cardinali
- Department of Chemistry, Biology and Biotechnology, University of Perugia, Perugia, Italy
| | - V. Grugni
- Department of Biology and Biotechnology “L. Spallanzani”, University of Pavia, Pavia, Italy
| | - H. Lancioni
- Department of Chemistry, Biology and Biotechnology, University of Perugia, Perugia, Italy
| | - V. L. Pascali
- Section of Legal Medicine, Institute of Public Health, Catholic University of the Sacred Heart, Rome, Italy
| | - A. Torroni
- Department of Biology and Biotechnology “L. Spallanzani”, University of Pavia, Pavia, Italy
| | - O. Semino
- Department of Biology and Biotechnology “L. Spallanzani”, University of Pavia, Pavia, Italy
| | - G. Matullo
- Department of Medical Sciences, University of Turin, Turin, Italy
- IIGM (Italian Institute for Genomic Medicine), Turin, Italy
| | - A. Achilli
- Department of Biology and Biotechnology “L. Spallanzani”, University of Pavia, Pavia, Italy
| | - A. Olivieri
- Department of Biology and Biotechnology “L. Spallanzani”, University of Pavia, Pavia, Italy
| | - C. Capelli
- Department of Zoology, University of Oxford, Oxford, UK
- Corresponding author. (A.R.); (S.A.); (F.M.); (C.C.)
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23
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Zhang C, Gao Y, Liu J, Xue Z, Lu Y, Deng L, Tian L, Feng Q, Xu S. PGG.Population: a database for understanding the genomic diversity and genetic ancestry of human populations. Nucleic Acids Res 2019; 46:D984-D993. [PMID: 29112749 PMCID: PMC5753384 DOI: 10.1093/nar/gkx1032] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2017] [Accepted: 10/17/2017] [Indexed: 12/16/2022] Open
Abstract
There are a growing number of studies focusing on delineating genetic variations that are associated with complex human traits and diseases due to recent advances in next-generation sequencing technologies. However, identifying and prioritizing disease-associated causal variants relies on understanding the distribution of genetic variations within and among populations. The PGG.Population database documents 7122 genomes representing 356 global populations from 107 countries and provides essential information for researchers to understand human genomic diversity and genetic ancestry. These data and information can facilitate the design of research studies and the interpretation of results of both evolutionary and medical studies involving human populations. The database is carefully maintained and constantly updated when new data are available. We included miscellaneous functions and a user-friendly graphical interface for visualization of genomic diversity, population relationships (genetic affinity), ancestral makeup, footprints of natural selection, and population history etc. Moreover, PGG.Population provides a useful feature for users to analyze data and visualize results in a dynamic style via online illustration. The long-term ambition of the PGG.Population, together with the joint efforts from other researchers who contribute their data to our database, is to create a comprehensive depository of geographic and ethnic variation of human genome, as well as a platform bringing influence on future practitioners of medicine and clinical investigators. PGG.Population is available at https://www.pggpopulation.org.
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Affiliation(s)
- Chao Zhang
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, CAS, Shanghai 200031, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yang Gao
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, CAS, Shanghai 200031, China.,University of Chinese Academy of Sciences, Beijing 100049, China.,School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Jiaojiao Liu
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, CAS, Shanghai 200031, China.,University of Chinese Academy of Sciences, Beijing 100049, China.,School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Zhe Xue
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, CAS, Shanghai 200031, China
| | - Yan Lu
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, CAS, Shanghai 200031, China
| | - Lian Deng
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, CAS, Shanghai 200031, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Lei Tian
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, CAS, Shanghai 200031, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Qidi Feng
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, CAS, Shanghai 200031, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shuhua Xu
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, CAS, Shanghai 200031, China.,University of Chinese Academy of Sciences, Beijing 100049, China.,School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China.,Collaborative Innovation Center of Genetics and Development, Shanghai 200438, China
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24
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Järve M, Saag L, Scheib CL, Pathak AK, Montinaro F, Pagani L, Flores R, Guellil M, Saag L, Tambets K, Kushniarevich A, Solnik A, Varul L, Zadnikov S, Petrauskas O, Avramenko M, Magomedov B, Didenko S, Toshev G, Bruyako I, Grechko D, Okatenko V, Gorbenko K, Smyrnov O, Heiko A, Reida R, Sapiehin S, Sirotin S, Tairov A, Beisenov A, Starodubtsev M, Vasilev V, Nechvaloda A, Atabiev B, Litvinov S, Ekomasova N, Dzhaubermezov M, Voroniatov S, Utevska O, Shramko I, Khusnutdinova E, Metspalu M, Savelev N, Kriiska A, Kivisild T, Villems R. Shifts in the Genetic Landscape of the Western Eurasian Steppe Associated with the Beginning and End of the Scythian Dominance. Curr Biol 2019; 29:2430-2441.e10. [PMID: 31303491 DOI: 10.1016/j.cub.2019.06.019] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2019] [Revised: 05/03/2019] [Accepted: 06/07/2019] [Indexed: 01/08/2023]
Abstract
The Early Iron Age nomadic Scythians have been described as a confederation of tribes of different origins, based on ancient DNA evidence [1-3]. It is still unclear how much of the Scythian dominance in the Eurasian Steppe was due to movements of people and how much reflected cultural diffusion and elite dominance. We present new whole-genome sequences of 31 ancient Western and Eastern Steppe individuals, including Scythians as well as samples pre- and postdating them, allowing us to set the Scythians in a temporal context (in the Western, i.e., Ponto-Caspian Steppe). We detect an increase of eastern (Altaian) affinity along with a decrease in eastern hunter-gatherer (EHG) ancestry in the Early Iron Age Ponto-Caspian gene pool at the start of the Scythian dominance. On the other hand, samples of the Chernyakhiv culture postdating the Scythians in Ukraine have a significantly higher proportion of Near Eastern ancestry than other samples of this study. Our results agree with the Gothic source of the Chernyakhiv culture and support the hypothesis that the Scythian dominance did involve a demic component.
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Affiliation(s)
- Mari Järve
- Estonian Biocentre, Institute of Genomics, University of Tartu, 23b Riia Street, Tartu 51010, Estonia.
| | - Lehti Saag
- Estonian Biocentre, Institute of Genomics, University of Tartu, 23b Riia Street, Tartu 51010, Estonia; Department of Evolutionary Biology, Institute of Molecular and Cell Biology, University of Tartu, 23b Riia Street, Tartu 51010, Estonia
| | - Christiana Lyn Scheib
- Estonian Biocentre, Institute of Genomics, University of Tartu, 23b Riia Street, Tartu 51010, Estonia
| | - Ajai K Pathak
- Estonian Biocentre, Institute of Genomics, University of Tartu, 23b Riia Street, Tartu 51010, Estonia; Department of Evolutionary Biology, Institute of Molecular and Cell Biology, University of Tartu, 23b Riia Street, Tartu 51010, Estonia
| | - Francesco Montinaro
- Estonian Biocentre, Institute of Genomics, University of Tartu, 23b Riia Street, Tartu 51010, Estonia
| | - Luca Pagani
- Estonian Biocentre, Institute of Genomics, University of Tartu, 23b Riia Street, Tartu 51010, Estonia; Department of Biology, University of Padova, Via U. Bassi 58/B, Padova 35121, Italy
| | - Rodrigo Flores
- Estonian Biocentre, Institute of Genomics, University of Tartu, 23b Riia Street, Tartu 51010, Estonia
| | - Meriam Guellil
- Estonian Biocentre, Institute of Genomics, University of Tartu, 23b Riia Street, Tartu 51010, Estonia
| | - Lauri Saag
- Estonian Biocentre, Institute of Genomics, University of Tartu, 23b Riia Street, Tartu 51010, Estonia
| | - Kristiina Tambets
- Estonian Biocentre, Institute of Genomics, University of Tartu, 23b Riia Street, Tartu 51010, Estonia
| | - Alena Kushniarevich
- Estonian Biocentre, Institute of Genomics, University of Tartu, 23b Riia Street, Tartu 51010, Estonia
| | - Anu Solnik
- Estonian Biocentre, Institute of Genomics, University of Tartu, 23b Riia Street, Tartu 51010, Estonia
| | - Liivi Varul
- School of Humanities, Tallinn University, 29 Narva Street, Tallinn 10120, Estonia
| | - Stanislav Zadnikov
- Museum of Archaeology, V.N. Karazin Kharkiv National University, 4 Svobody Square, Kharkiv 61022, Ukraine
| | - Oleg Petrauskas
- Institute of Archaeology, National Academy of Sciences of Ukraine, 12 Heroyiv Stalinhradu Avenue, Kyiv 04210, Ukraine
| | - Maryana Avramenko
- Institute of Archaeology, National Academy of Sciences of Ukraine, 12 Heroyiv Stalinhradu Avenue, Kyiv 04210, Ukraine
| | - Boris Magomedov
- Institute of Archaeology, National Academy of Sciences of Ukraine, 12 Heroyiv Stalinhradu Avenue, Kyiv 04210, Ukraine
| | - Serghii Didenko
- National Museum of History of Ukraine, 2 Volodymyrs'ka Street, Kyiv 02000, Ukraine
| | - Gennadi Toshev
- Zaporizhzhya National University, 33A Dniprovska Street, Zaporizhzhya 69061, Ukraine
| | - Igor Bruyako
- Odessa Archaeological Museum, 4 Lanzheronivs'ka Street, Odessa 65000, Ukraine
| | - Denys Grechko
- Institute of Archaeology, National Academy of Sciences of Ukraine, 12 Heroyiv Stalinhradu Avenue, Kyiv 04210, Ukraine
| | - Vitalii Okatenko
- SC SRC "Protective Archeological Service of Ukraine," Institute of Archaeology, National Academy of Sciences of Ukraine, 12 Heroyiv Stalinhradu Avenue, Kyiv 04210, Ukraine
| | - Kyrylo Gorbenko
- Mykolaiv V.O. Sukhomlynskyi National University, 24 Nikolska Street, Mykolaiv 54030, Ukraine
| | - Oleksandr Smyrnov
- Mykolaiv V.O. Sukhomlynskyi National University, 24 Nikolska Street, Mykolaiv 54030, Ukraine
| | - Anatolii Heiko
- National Museum of Ukrainian Pottery in Opishne, 102 Partyzanska Street, Opishne 38164, Ukraine
| | - Roman Reida
- Institute of Archaeology, National Academy of Sciences of Ukraine, 12 Heroyiv Stalinhradu Avenue, Kyiv 04210, Ukraine
| | - Serheii Sapiehin
- Anton Makarenko Museum, Poltava Regional Makarenko Scientific Lyceum, 1-2 Makarenko Lane, Kovalivka 38701, Ukraine
| | - Sergey Sirotin
- Institute of Archaeology, Russian Academy of Sciences, 19 Dmitri Ulyanov Street, Moscow 117292, Russia
| | - Aleksandr Tairov
- South Ural State University, 76 Lenin Avenue, Chelyabinsk 454080, Russia
| | - Arman Beisenov
- A. Kh. Margulan Institute of Archaeology, 44 Dostyk Avenue, Almaty 480100, Kazakhstan
| | - Maksim Starodubtsev
- Sterlitamak Museum of Local History, 100 Karl Marx Street, Sterlitamak 453124, Russia
| | - Vitali Vasilev
- LoCom Medien Akademie Europäisches Bildungsinstitut, Bachstraße 4, Bonn 53115, Germany
| | - Alexei Nechvaloda
- Institute of History, Language and Literature, Ufa Federal Research Centre of the Russian Academy of Sciences, 71 October Avenue, Ufa 450054, Russia
| | - Biyaslan Atabiev
- Institute for Caucasus Archaeology, 30 Katkhanova Street, Nalchik 361401, Russia
| | - Sergey Litvinov
- Institute of Biochemistry and Genetics, Ufa Federal Research Centre of the Russian Academy of Sciences, 71 October Avenue, Ufa 450054, Russia
| | - Natalia Ekomasova
- Institute of Biochemistry and Genetics, Ufa Federal Research Centre of the Russian Academy of Sciences, 71 October Avenue, Ufa 450054, Russia; Department of Genetics and Fundamental Medicine, Bashkir State University, 32 Zaki Validi Street, Ufa 450076, Russia
| | - Murat Dzhaubermezov
- Institute of Biochemistry and Genetics, Ufa Federal Research Centre of the Russian Academy of Sciences, 71 October Avenue, Ufa 450054, Russia; Department of Genetics and Fundamental Medicine, Bashkir State University, 32 Zaki Validi Street, Ufa 450076, Russia
| | - Sergey Voroniatov
- Department of Archaeology of Eastern Europe and Siberia, State Hermitage Museum, 34 Dvortsovaya Embankment, St. Petersburg 190000, Russia
| | - Olga Utevska
- Department of Genetics and Cytology, V.N. Karazin Kharkiv National University, 4 Svobody Square, Kharkiv 61022, Ukraine
| | - Irina Shramko
- Museum of Archaeology, V.N. Karazin Kharkiv National University, 4 Svobody Square, Kharkiv 61022, Ukraine
| | - Elza Khusnutdinova
- Institute of Biochemistry and Genetics, Ufa Federal Research Centre of the Russian Academy of Sciences, 71 October Avenue, Ufa 450054, Russia; Department of Genetics and Fundamental Medicine, Bashkir State University, 32 Zaki Validi Street, Ufa 450076, Russia
| | - Mait Metspalu
- Estonian Biocentre, Institute of Genomics, University of Tartu, 23b Riia Street, Tartu 51010, Estonia
| | - Nikita Savelev
- Institute of History, Language and Literature, Ufa Federal Research Centre of the Russian Academy of Sciences, 71 October Avenue, Ufa 450054, Russia
| | - Aivar Kriiska
- Department of Archaeology, Institute of History and Archaeology, University of Tartu, 2 Jakobi Street, Tartu 51014, Estonia
| | - Toomas Kivisild
- Estonian Biocentre, Institute of Genomics, University of Tartu, 23b Riia Street, Tartu 51010, Estonia; Department of Human Genetics, KU Leuven, O&N IV Herestraat 49, Leuven 3000, Belgium
| | - Richard Villems
- Estonian Biocentre, Institute of Genomics, University of Tartu, 23b Riia Street, Tartu 51010, Estonia; Department of Evolutionary Biology, Institute of Molecular and Cell Biology, University of Tartu, 23b Riia Street, Tartu 51010, Estonia
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25
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Ethnogenetic analysis reveals that Kohistanis of Pakistan were genetically linked to west Eurasians by a probable ancestral genepool from Eurasian steppe in the bronze age. Mitochondrion 2019; 47:82-93. [PMID: 31103559 DOI: 10.1016/j.mito.2019.05.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2018] [Revised: 04/06/2019] [Accepted: 05/15/2019] [Indexed: 12/13/2022]
Abstract
Despite the unique geographic, ethnic, social and cultural features of Kohistan in Pakistan, the origin and descent of Kohistanis remain still obscure. In an effort to address questions concerning the genetic structure, origin and genetic affinities of Kohistanis, we herein applied an ethnogenetic approach consisting on mitochondrial DNA (mtDNA) analysis and dental morphology analysis. We sequenced HVS1 of mtDNA, observed 14 haplotypes and assigned a total of 9 haplogroups belonging to macrolineages M (17%) and N (83%). Genetic diversity estimates in Kohistanis (Hd = 0.910 ± 0.014; Pi = 0.019 ± 0.001; θw = 0.019 ± 0.006) were similar to that of previous studies in other Pakistani populations. Overall, the analyses of dental morphology and mtDNA profile of Kohistanis resulted in similar findings. All the analyses indicate that Kohistanis share affinities to populations from Europe, Near East, Central Asia and South Asia. The Kohistani HVS1 haplotype 2 shares 100% identity to HVS1 haplotypes across the Europe. These results in light of recent insights into ancient genomics lead us to conclude that ancestry from Eurasian Steppe genetically linked Kohistanis to all these populations in the Bronze Age. This is consistent with linguistic evidence and also with the Indo-Aryan migration model for the peopling of South Asia.
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26
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Ebenesersdóttir SS, Sandoval-Velasco M, Gunnarsdóttir ED, Jagadeesan A, Guðmundsdóttir VB, Thordardóttir EL, Einarsdóttir MS, Moore KHS, Sigurðsson Á, Magnúsdóttir DN, Jónsson H, Snorradóttir S, Hovig E, Møller P, Kockum I, Olsson T, Alfredsson L, Hansen TF, Werge T, Cavalleri GL, Gilbert E, Lalueza-Fox C, Walser JW, Kristjánsdóttir S, Gopalakrishnan S, Árnadóttir L, Magnússon ÓÞ, Gilbert MTP, Stefánsson K, Helgason A. Ancient genomes from Iceland reveal the making of a human population. Science 2018; 360:1028-1032. [PMID: 29853688 DOI: 10.1126/science.aar2625] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2017] [Accepted: 04/25/2018] [Indexed: 12/14/2022]
Abstract
Opportunities to directly study the founding of a human population and its subsequent evolutionary history are rare. Using genome sequence data from 27 ancient Icelanders, we demonstrate that they are a combination of Norse, Gaelic, and admixed individuals. We further show that these ancient Icelanders are markedly more similar to their source populations in Scandinavia and the British-Irish Isles than to contemporary Icelanders, who have been shaped by 1100 years of extensive genetic drift. Finally, we report evidence of unequal contributions from the ancient founders to the contemporary Icelandic gene pool. These results provide detailed insights into the making of a human population that has proven extraordinarily useful for the discovery of genotype-phenotype associations.
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Affiliation(s)
- S Sunna Ebenesersdóttir
- deCODE Genetics/AMGEN, Inc., Reykjavik Iceland. .,Department of Anthropology, University of Iceland, Reykjavik, Iceland
| | - Marcela Sandoval-Velasco
- Natural History Museum of Denmark, University of Copenhagen, Øster Voldgade 5-7, 1350 Copenhagen K, Denmark
| | - Ellen D Gunnarsdóttir
- deCODE Genetics/AMGEN, Inc., Reykjavik Iceland.,Department of Anthropology, University of Iceland, Reykjavik, Iceland
| | - Anuradha Jagadeesan
- deCODE Genetics/AMGEN, Inc., Reykjavik Iceland.,Department of Anthropology, University of Iceland, Reykjavik, Iceland
| | - Valdís B Guðmundsdóttir
- deCODE Genetics/AMGEN, Inc., Reykjavik Iceland.,Department of Anthropology, University of Iceland, Reykjavik, Iceland
| | - Elísabet L Thordardóttir
- deCODE Genetics/AMGEN, Inc., Reykjavik Iceland.,Department of Anthropology, University of Iceland, Reykjavik, Iceland
| | - Margrét S Einarsdóttir
- deCODE Genetics/AMGEN, Inc., Reykjavik Iceland.,Department of Anthropology, University of Iceland, Reykjavik, Iceland
| | | | | | | | | | | | - Eivind Hovig
- Department of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.,Institute for Cancer Genetics and Informatics, Oslo University Hospital, Oslo, Norway.,Department of Informatics, University of Oslo, Oslo, Norway
| | - Pål Møller
- Department of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.,Department of Human Medicine, Universität Witten/Herdecke, Witten, Germany.,Research Group Inherited Cancer, Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - Ingrid Kockum
- Center for Molecular Medicine, Department of Clinical Neuroscience, Neuroimmunology Unit, Karolinska Institutet, Stockholm, Sweden
| | - Tomas Olsson
- Center for Molecular Medicine, Department of Clinical Neuroscience, Neuroimmunology Unit, Karolinska Institutet, Stockholm, Sweden
| | - Lars Alfredsson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Thomas F Hansen
- Institute of Biological Psychiatry, Copenhagen Mental Health Services, Copenhagen, Denmark.,Danish Headache Center, Department of Neurology, Copenhagen University hospital, DK-2600 Glostrup, Denmark
| | - Thomas Werge
- Institute of Biological Psychiatry, Copenhagen Mental Health Services, Copenhagen, Denmark.,Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.,The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Copenhagen, Denmark
| | - Gianpiero L Cavalleri
- Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, 123 St. Stephen's Green, Dublin, Ireland
| | - Edmund Gilbert
- Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, 123 St. Stephen's Green, Dublin, Ireland
| | | | - Joe W Walser
- National Museum of Iceland, Reykjavik, Iceland.,Department of Archaeology, University of Iceland, Reykjavik, Iceland
| | - Steinunn Kristjánsdóttir
- National Museum of Iceland, Reykjavik, Iceland.,Department of Archaeology, University of Iceland, Reykjavik, Iceland
| | - Shyam Gopalakrishnan
- Natural History Museum of Denmark, University of Copenhagen, Øster Voldgade 5-7, 1350 Copenhagen K, Denmark
| | | | | | - M Thomas P Gilbert
- Natural History Museum of Denmark, University of Copenhagen, Øster Voldgade 5-7, 1350 Copenhagen K, Denmark.,Norwegian University of Science and Techonology, University Museum, 7491 Trondheim, Norway
| | - Kári Stefánsson
- deCODE Genetics/AMGEN, Inc., Reykjavik Iceland. .,Faculity of Medicine, University of Iceland, Reykjavik, Iceland
| | - Agnar Helgason
- deCODE Genetics/AMGEN, Inc., Reykjavik Iceland. .,Department of Anthropology, University of Iceland, Reykjavik, Iceland
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27
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Sukarova-Angelovska E, Petlichkovski A. Genetics in Macedonia-Following the international trends. Mol Genet Genomic Med 2018; 6:9-14. [PMID: 29460367 PMCID: PMC5823678 DOI: 10.1002/mgg3.372] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2017] [Revised: 02/01/2018] [Accepted: 01/11/2018] [Indexed: 11/11/2022] Open
Abstract
Genetics in Macedonia—Following the international trends
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Affiliation(s)
- Elena Sukarova-Angelovska
- University Clinic for Children's Diseases, Medical Faculty, University Sv. Kiril i Metodij, Skopje, Republic of Macedonia
| | - Aleksandar Petlichkovski
- Institute for Immunobiology and Human Genetics, Medical Faculty, University Sv. Kiril i Metodij, Skopje, Republic of Macedonia
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28
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Adler G, Adler MA, Urbańska A, Skonieczna-Żydecka K, Kiseljakovic E, Valjevac A, Parczewski M, Hadzovic-Dzuvo A. Bosnian study of APOE distribution (BOSAD): a comparison with other European populations. Ann Hum Biol 2017; 44:568-573. [PMID: 28705029 DOI: 10.1080/03014460.2017.1346708] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
BACKGROUND The ε2, ε3 and ε4 alleles of APOE gene have been associated with several diseases in different populations. Data on the frequency of alleles are used in both a clinical and evolutionary context. Although the data on frequency of these alleles are numerous, there are no reports for the population of Bosnia and Herzegovina. AIM To estimate the frequency of APOE alleles in a healthy Bosnian population and compare it to data for other European populations. SUBJECTS AND METHODS Overall, 170 unrelated Bosnian subjects (108 female and 62 male), aged 53.0 (±5.0) years were included in this study. Genotypes were determined by real-time PCR. RESULTS In our group the prevalence of heterozygotes E2/E3, E2/E4 and E3/E4 was 20.6%, 3.5% and 12.9%, respectively, while the prevalence of homozygotes E2/E2, E3/E3, E4/E4 was 0.6%, 61.2% and 1.2%, respectively, with a mean frequency of ε2, ε3 and ε4 alleles of 12.6%, 78.0% and 9.4%, respectively. CONCLUSIONS In studied European populations we observed a linear, gradually increasing trend in the frequency of ε4 allele from South to North (Pearson's test 0,7656, p value <0.00001), and the Bosnian population fits into this pattern perfectly.
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Affiliation(s)
- Grażyna Adler
- a Department of Gerontobiology , Pomeranian Medical University , Szczecin , Poland
| | | | - Anna Urbańska
- c Department of Infectious, Tropical Diseases , Pomeranian Medical University , Szczecin , Poland
| | | | - Emina Kiseljakovic
- d Department of Medical Biochemistry, Faculty of Medicine , University of Sarajevo , Sarajevo , Bosnia and Herzegovina
| | - Amina Valjevac
- e Department of Human Physiology, Faculty of Medicine , University of Sarajevo , Sarajevo , Bosnia and Herzegovina
| | - Miłosz Parczewski
- c Department of Infectious, Tropical Diseases , Pomeranian Medical University , Szczecin , Poland
| | - Almira Hadzovic-Dzuvo
- e Department of Human Physiology, Faculty of Medicine , University of Sarajevo , Sarajevo , Bosnia and Herzegovina
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Ancient and recent admixture layers in Sicily and Southern Italy trace multiple migration routes along the Mediterranean. Sci Rep 2017; 7:1984. [PMID: 28512355 PMCID: PMC5434004 DOI: 10.1038/s41598-017-01802-4] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2016] [Accepted: 04/04/2017] [Indexed: 12/12/2022] Open
Abstract
The Mediterranean shores stretching between Sicily, Southern Italy and the Southern Balkans witnessed a long series of migration processes and cultural exchanges. Accordingly, present-day population diversity is composed by multiple genetic layers, which make the deciphering of different ancestral and historical contributes particularly challenging. We address this issue by genotyping 511 samples from 23 populations of Sicily, Southern Italy, Greece and Albania with the Illumina GenoChip Array, also including new samples from Albanian- and Greek-speaking ethno-linguistic minorities of Southern Italy. Our results reveal a shared Mediterranean genetic continuity, extending from Sicily to Cyprus, where Southern Italian populations appear genetically closer to Greek-speaking islands than to continental Greece. Besides a predominant Neolithic background, we identify traces of Post-Neolithic Levantine- and Caucasus-related ancestries, compatible with maritime Bronze-Age migrations. We argue that these results may have important implications in the cultural history of Europe, such as in the diffusion of some Indo-European languages. Instead, recent historical expansions from North-Eastern Europe account for the observed differentiation of present-day continental Southern Balkan groups. Patterns of IBD-sharing directly reconnect Albanian-speaking Arbereshe with a recent Balkan-source origin, while Greek-speaking communities of Southern Italy cluster with their Italian-speaking neighbours suggesting a long-term history of presence in Southern Italy.
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Grasgruber P, Popović S, Bokuvka D, Davidović I, Hřebíčková S, Ingrová P, Potpara P, Prce S, Stračárová N. The mountains of giants: an anthropometric survey of male youths in Bosnia and Herzegovina. ROYAL SOCIETY OPEN SCIENCE 2017; 4:161054. [PMID: 28484621 PMCID: PMC5414258 DOI: 10.1098/rsos.161054] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/19/2016] [Accepted: 02/27/2017] [Indexed: 06/07/2023]
Abstract
The aim of this anthropometric survey, conducted between 2015 and 2016 in Bosnia and Herzegovina (BiH), was to map local geographical differences in male stature and some other anthropometric characteristics (sitting height, arm span). In addition, to investigate the main environmental factors influencing physical growth, the documented values of height would be compared with available nutritional and socioeconomic statistics. Anthropometric data were collected in 3192 boys aged approximately 18.3 years (17-20 years), from 97 schools in 37 towns. When corrected for population size in the examined regions, the average height of young males in BiH is 181.2 cm (181.4 cm in the Bosniak-Croat Federation, 180.9 cm in Republika Srpska). The regional variation is considerable-from 179.7 cm in the region of Doboj to 184.5 cm in the region of Trebinje. These results fill a long-term gap in the anthropological research of the Western Balkans and confirm older reports that the population of the Dinaric Alps is distinguished by extraordinary physical stature. Together with the Dutch, Montenegrins and Dalmatians, men from Herzegovina (183.4 cm) can be regarded as the tallest in the world. Because both nutritional standards and socioeconomic conditions are still deeply suboptimal, the most likely explanation of this exceptional height lies in specific genetic factors associated with the spread of Y haplogroup I-M170. The genetic potential for height in this region could then be the greatest in the world. Future studies should further elucidate the roots of this intriguing phenomenon, which touches an important aspect of human biodiversity.
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Affiliation(s)
- Pavel Grasgruber
- Faculty of Sports Studies, Masaryk University, Kamenice 5, 62500 Brno, Czech Republic
| | - Stevo Popović
- Faculty for Sport and Physical Education, University of Montenegro, Narodne omladine bb, 81400 Niksić, Montenegro
| | - Dominik Bokuvka
- Faculty of Sports Studies, Masaryk University, Kamenice 5, 62500 Brno, Czech Republic
| | - Ivan Davidović
- Ekonomska škola, Ul. Vladimira Rolovica 2, Bar, Montenegro
| | - Sylva Hřebíčková
- Faculty of Sports Studies, Masaryk University, Kamenice 5, 62500 Brno, Czech Republic
| | - Pavlína Ingrová
- Department of Anthropology, Faculty of Science, Masaryk University, Kotlarska 2, 61137 Brno, Czech Republic
| | - Predrag Potpara
- Faculty for Sport and Physical Education, University of Montenegro, Narodne omladine bb, 81400 Niksić, Montenegro
| | - Stipan Prce
- Gimnazija Metković, Ul. kralja Zvonimira 10, 20350 Metković, Croatia
| | - Nikola Stračárová
- Faculty of Sports Studies, Masaryk University, Kamenice 5, 62500 Brno, Czech Republic
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31
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Cocoş R, Schipor S, Hervella M, Cianga P, Popescu R, Bănescu C, Constantinescu M, Martinescu A, Raicu F. Genetic affinities among the historical provinces of Romania and Central Europe as revealed by an mtDNA analysis. BMC Genet 2017; 18:20. [PMID: 28270115 PMCID: PMC5341396 DOI: 10.1186/s12863-017-0487-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2016] [Accepted: 03/02/2017] [Indexed: 01/17/2023] Open
Abstract
Background As a major crossroads between Asia and Europe, Romania has experienced continuous migration and invasion episodes. The precise routes may have been shaped by the topology of the territory and had diverse impacts on the genetic structure of mitochondrial DNA (mtDNA) in historical Romanian provinces. We studied 714 Romanians from all historical provinces, Wallachia, Dobrudja, Moldavia, and Transylvania, by analyzing the mtDNA control region and coding markers to encompass the complete landscape of mtDNA haplogroups. Results We observed a homogenous distribution of the majority of haplogroups among the Romanian provinces and a clear association with the European populations. A principal component analysis and multidimensional scaling analysis supported the genetic similarity of the Wallachia, Moldavia, and Dobrudja groups with the Balkans, while the Transylvania population was closely related to Central European groups. These findings could be explained by the topology of the Romanian territory, where the Carpathian Arch played an important role in migration patterns. Signals of Asian maternal lineages were observed in all Romanian historical provinces, indicating gene flow along the migration routes through East Asia and Europe. Conclusions Our current findings based on the mtDNA analysis of populations in historical provinces of Romania suggest similarity between populations in Transylvania and Central Europe, supported both by the observed clines in haplogroup frequencies for several European and Asian maternal lineages and MDS analyses. Electronic supplementary material The online version of this article (doi:10.1186/s12863-017-0487-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Relu Cocoş
- "Carol Davila" University of Medicine and Pharmacy, Chair of Medical Genetics, 19-21, Prof. dr. Dimitrie Gerota St., 020032, Bucharest, Romania.,Genome Life Research Center, Bucharest, Romania
| | - Sorina Schipor
- National Institute of Endocrinology "C. I. Parhon", Bucharest, Romania
| | - Montserrat Hervella
- Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country (UPV/EHU), Bizkaia, Spain
| | - Petru Cianga
- Department of Immunology, Grigore T. Popa University of Medicine and Pharmacy, Iasi, Romania
| | - Roxana Popescu
- "Victor Babeş" University of Medicine and Pharmacy, Timişoara, Romania
| | - Claudia Bănescu
- Department of Medical Genetics, University of Medicine and Pharmacy Tîrgu Mureş, Tîrgu Mureş, Romania
| | - Mihai Constantinescu
- "Francisc I. Rainer" Institute of Anthropology, Romanian Academy, Bucharest, Romania
| | - Alina Martinescu
- Department of Medical Genetics, Ovidius University, Faculty of Medicine, Constanța, Romania
| | - Florina Raicu
- "Carol Davila" University of Medicine and Pharmacy, Chair of Medical Genetics, 19-21, Prof. dr. Dimitrie Gerota St., 020032, Bucharest, Romania. .,"Francisc I. Rainer" Institute of Anthropology, Romanian Academy, Bucharest, Romania.
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Davidovic S, Malyarchuk B, Aleksic J, Derenko M, Topalovic V, Litvinov A, Skonieczna K, Rogalla U, Grzybowski T, Stevanovic M, Kovacevic-Grujicic N. Mitochondrial super-haplogroup U diversity in Serbians. Ann Hum Biol 2017; 44:408-418. [PMID: 28140657 DOI: 10.1080/03014460.2017.1287954] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
BACKGROUND Available mitochondrial (mtDNA) data demonstrate genetic differentiation among South Slavs inhabiting the Balkan Peninsula. However, their resolution is insufficient to elucidate the female-specific aspects of the genetic history of South Slavs, including the genetic impact of various migrations which were rather common within the Balkans, a region having a turbulent demographic history. AIM The aim was to thoroughly study complete mitogenomes of Serbians, a population linking westward and eastward South Slavs. SUBJECTS AND METHODS Forty-six predominantly Serbian super-haplogroup U complete mitogenomes were analysed phylogenetically against ∼4000 available complete mtDNAs of modern and ancient Western Eurasians. RESULTS Serbians share a number of U mtDNA lineages with Southern, Eastern-Central and North-Western Europeans. Putative Balkan-specific lineages (e.g. U1a1c2, U4c1b1, U5b3j, K1a4l and K1a13a1) and lineages shared among Serbians (South Slavs) and West and East Slavs were detected (e.g. U2e1b1, U2e2a1d, U4a2a, U4a2c, U4a2g1, U4d2b and U5b1a1). CONCLUSION The exceptional diversity of maternal lineages found in Serbians may be associated with the genetic impact of both autochthonous pre-Slavic Balkan populations whose mtDNA gene pool was affected by migrations of various populations over time (e.g. Bronze Age pastoralists) and Slavic and Germanic newcomers in the early Middle Ages.
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Affiliation(s)
- Slobodan Davidovic
- a Institute of Molecular Genetics and Genetic Engineering , University of Belgrade , Belgrade , Serbia
| | - Boris Malyarchuk
- b Genetics Laboratory, Institute of Biological Problems of the North , Russian Academy of Sciences , Magadan , Russia
| | - Jelena Aleksic
- a Institute of Molecular Genetics and Genetic Engineering , University of Belgrade , Belgrade , Serbia
| | - Miroslava Derenko
- b Genetics Laboratory, Institute of Biological Problems of the North , Russian Academy of Sciences , Magadan , Russia
| | - Vladanka Topalovic
- a Institute of Molecular Genetics and Genetic Engineering , University of Belgrade , Belgrade , Serbia
| | - Andrey Litvinov
- b Genetics Laboratory, Institute of Biological Problems of the North , Russian Academy of Sciences , Magadan , Russia
| | - Katarzyna Skonieczna
- c Department of Forensic Medicine, Division of Molecular and Forensic Genetics, Ludwik Rydygier Collegium Medicum, Faculty of Medicine , Nicolaus Copernicus University , Bydgoszcz , Poland
| | - Urszula Rogalla
- c Department of Forensic Medicine, Division of Molecular and Forensic Genetics, Ludwik Rydygier Collegium Medicum, Faculty of Medicine , Nicolaus Copernicus University , Bydgoszcz , Poland
| | - Tomasz Grzybowski
- c Department of Forensic Medicine, Division of Molecular and Forensic Genetics, Ludwik Rydygier Collegium Medicum, Faculty of Medicine , Nicolaus Copernicus University , Bydgoszcz , Poland
| | - Milena Stevanovic
- a Institute of Molecular Genetics and Genetic Engineering , University of Belgrade , Belgrade , Serbia
| | - Natasa Kovacevic-Grujicic
- a Institute of Molecular Genetics and Genetic Engineering , University of Belgrade , Belgrade , Serbia
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33
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Agdzhoyan AT, Balanovska EV, Padyukova AD, Dolinina DO, Kuznetsova MA, Zaporozhchenko VV, Skhalyakho RA, Koshel SM, Zhabagin MK, Yusupov YM, Mustafin KK, Ulyanova MV, Tychinskih ZA, Lavryashina MB, Balanovsky OP. Gene pool of Siberian Tatars: Five ways of origin for five subethnic groups. Mol Biol 2016. [DOI: 10.1134/s0026893316060029] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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34
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Šarac J, Šarić T, Havaš Auguštin D, Novokmet N, Vekarić N, Mustać M, Grahovac B, Kapović M, Nevajda B, Glasnović A, Missoni S, Rootsi S, Rudan P. Genetic heritage of Croatians in the Southeastern European gene pool-Y chromosome analysis of the Croatian continental and Island population. Am J Hum Biol 2016; 28:837-845. [PMID: 27279290 DOI: 10.1002/ajhb.22876] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2015] [Revised: 03/22/2016] [Accepted: 05/10/2016] [Indexed: 12/20/2022] Open
Abstract
OBJECTIVES The research objective of this study is to enlarge and deepen the Y chromosome research on the Croatian population and enable additional insights into the population diversity and historic events that shaped the current genetic landscape of Croatia and Southeastern Europe (SEE). MATERIALS AND METHODS A high-resolution phylogenetic and phylogeographic analysis of 66 biallelic (SNPs) and 17 microsatellite (STRs) markers of the Y chromosome was performed using 720 Croatian samples. The obtained results were placed in a wider European context by comparison with ∼4450 samples from a number of other European populations. RESULTS A high diversity of haplogroups was observed in the overall Croatian sample, and all typical European Y chromosome haplogroups with corresponding clinal patterns were observed. Three distinct genetic signals were identifiable in the Croatian paternal gene pool - I2a1b-M423, R1a1a1b1a*-M558, and E1b1b1a1b1a-V13 haplogroups. DISCUSSION The analyses of the dominant and autochthonous I2a1b-M423 lineage (>30%) suggest that SEE had a significant role in the Upper Paleolithic, the R1a1a1b1a*-M558 lineage (19%) represents a signal from present day Slavic populations of Central Europe in the Croatian population, and the phylogeography of the E1b1b1a1b1a-V13 clade (around 9%) implies cultural diffusion of agriculture into Europe via the Balkan Peninsula. Am. J. Hum. Biol., 2016. © 2016 Wiley Periodicals, Inc. Am. J. Hum. Biol. 28:837-845, 2016. © 2016Wiley Periodicals, Inc.
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Affiliation(s)
- Jelena Šarac
- Institute for Anthropological Research, 10000, Zagreb, Croatia
| | - Tena Šarić
- Institute for Anthropological Research, 10000, Zagreb, Croatia
| | | | | | - Nenad Vekarić
- Institute for Historical Sciences, Croatian Academy of Sciences and Arts, 20000, Dubrovnik, Croatia
| | - Mate Mustać
- Occupational Health Clinic, 23000, Zadar, Croatia
| | - Blaženka Grahovac
- Department of Pathology and Pathological Anatomy, School of Medicine, University of Rijeka, 51000, Rijeka, Croatia
| | - Miljenko Kapović
- Department of Biology and Medical Genetics, School of Medicine, University of Rijeka, 51000, Rijeka, Croatia
| | | | | | - Saša Missoni
- Institute for Anthropological Research, 10000, Zagreb, Croatia.,"Josip Juraj Strossmayer" University of Osijek, School of Medicine, Osijek, Croatia
| | - Siiri Rootsi
- Estonian Biocentre and Institute for Molecular and Cell Biology, Department of Evolutionary Biology, , University of Tartu, 51010, Tartu, Estonia
| | - Pavao Rudan
- Institute for Anthropological Research, 10000, Zagreb, Croatia.,Anthropological Center of the Croatian Academy of Sciences and Arts, 10000, Zagreb, Croatia
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Genetic Heritage of the Balto-Slavic Speaking Populations: A Synthesis of Autosomal, Mitochondrial and Y-Chromosomal Data. PLoS One 2015; 10:e0135820. [PMID: 26332464 PMCID: PMC4558026 DOI: 10.1371/journal.pone.0135820] [Citation(s) in RCA: 62] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2015] [Accepted: 07/27/2015] [Indexed: 11/20/2022] Open
Abstract
The Slavic branch of the Balto-Slavic sub-family of Indo-European languages underwent rapid divergence as a result of the spatial expansion of its speakers from Central-East Europe, in early medieval times. This expansion–mainly to East Europe and the northern Balkans–resulted in the incorporation of genetic components from numerous autochthonous populations into the Slavic gene pools. Here, we characterize genetic variation in all extant ethnic groups speaking Balto-Slavic languages by analyzing mitochondrial DNA (n = 6,876), Y-chromosomes (n = 6,079) and genome-wide SNP profiles (n = 296), within the context of other European populations. We also reassess the phylogeny of Slavic languages within the Balto-Slavic branch of Indo-European. We find that genetic distances among Balto-Slavic populations, based on autosomal and Y-chromosomal loci, show a high correlation (0.9) both with each other and with geography, but a slightly lower correlation (0.7) with mitochondrial DNA and linguistic affiliation. The data suggest that genetic diversity of the present-day Slavs was predominantly shaped in situ, and we detect two different substrata: ‘central-east European’ for West and East Slavs, and ‘south-east European’ for South Slavs. A pattern of distribution of segments identical by descent between groups of East-West and South Slavs suggests shared ancestry or a modest gene flow between those two groups, which might derive from the historic spread of Slavic people.
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Pugach I, Stoneking M. Genome-wide insights into the genetic history of human populations. INVESTIGATIVE GENETICS 2015; 6:6. [PMID: 25834724 PMCID: PMC4381409 DOI: 10.1186/s13323-015-0024-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/25/2014] [Accepted: 03/05/2015] [Indexed: 12/21/2022]
Abstract
Although mtDNA and the non-recombining Y chromosome (NRY) studies continue to provide valuable insights into the genetic history of human populations, recent technical, methodological and computational advances and the increasing availability of large-scale, genome-wide data from contemporary human populations around the world promise to reveal new aspects, resolve finer points, and provide a more detailed look at our past demographic history. Genome-wide data are particularly useful for inferring migrations, admixture, and fine structure, as well as for estimating population divergence and admixture times and fluctuations in effective population sizes. In this review, we highlight some of the stories that have emerged from the analyses of genome-wide SNP genotyping data concerning the human history of Southern Africa, India, Oceania, Island South East Asia, Europe and the Americas and comment on possible future study directions. We also discuss advantages and drawbacks of using SNP-arrays, with a particular focus on the ascertainment bias, and ways to circumvent it.
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Affiliation(s)
- Irina Pugach
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, D04103 Leipzig, Germany
| | - Mark Stoneking
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, D04103 Leipzig, Germany
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